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1 etworks as indicated by functional Ingenuity Pathway Analysis.
2  < .01), unsupervised cluster algorithm, and pathway analysis.
3 criptomic, and phosphoproteomic datasets for pathway analysis.
4 lication of decision analysis model for KEGG pathway analysis.
5  and enumeration of ontology memberships and pathway analysis.
6 e now available for glycan and glycosylation pathway analysis.
7 way database for visualization and metabolic pathway analysis.
8 inducible phenolic derivative, and can guide pathway analysis.
9 r smooth muscle cells (SMCs) to validate the pathway analysis.
10 croarray gene expression assay and ingenuity pathway analysis.
11  calls the PathVisioRPC interface to perform pathway analysis.
12 ism of Shisa3 was explored by microarray and pathway analysis.
13 ically significant genes were entered into a pathway analysis.
14 alling was suggested to have a nodal role by pathway analysis.
15 ical functions were analyzed using Ingenuity Pathway Analysis.
16 e implemented and available within Ingenuity Pathway Analysis.
17 osteroid group were analyzed using Ingenuity Pathway Analysis.
18    Biological pathways were identified using pathway analysis.
19 ene networks were identified using Ingenuity Pathway Analysis.
20 ification, data preprocessing, and metabolic pathway analysis.
21   Gene networks were identified by Ingenuity Pathway Analysis.
22 twork analysis using Ingenuity computational pathway analysis.
23 icted to be the target gene of miR-124-3p by pathway analysis.
24 ometry and a novel algorithm of quantitative pathway analysis.
25 ical pathways in CAD was tested by Ingenuity Pathway Analysis.
26 omatography-mass spectrometry) and Ingenuity Pathway Analysis.
27 mal thresholds for hit selection and network/pathway analysis.
28 ncreatic cancer cells, followed by in silico pathway analysis.
29 e identified and categorized using Ingenuity Pathway Analysis.
30                                              Pathway analysis, a heuristic analytic algorithm, a comp
31                              Using Ingenuity Pathway Analysis, a novel interaction was identified bet
32                               Apart from the pathway analysis algorithm, the fundamental innovation o
33                                              Pathway analysis also implicated genes involved in calci
34 fied previously, and provides a workflow for pathway analysis and drug repurposing using GWAS results
35 terized the effect of the novel loci through pathway analysis and found that pathways involved are no
36                                    Ingenuity Pathway Analysis and Gene Ontology analyses suggested th
37 onfirmed by pathway analysis using Ingenuity Pathway Analysis and gene set enrichment analysis (GSEA)
38             Pathway analysis using Ingenuity Pathway Analysis and Gene Set Enrichment Analysis confir
39                                    Ingenuity Pathway Analysis and IHC confirmed deregulation of metab
40                                              Pathway analysis and miRNA target gene enrichment were p
41                                We integrated pathway analysis and multilevel regional heritability an
42                                      Through pathway analysis and network construction, the functions
43 pdates on extensions and services to support pathway analysis and visualization via popular standalon
44 y were also significantly overrepresented in pathway analysis and were previously implicated in ADPKD
45 Proteomic results were analyzed by Ingenuity Pathways Analysis and compared to published synovial tis
46 gene expression analysis, data intersection, pathway analysis, and computational approaches including
47 ct of a toxicant through metabolomic-derived pathway analysis, and further, artificial intelligence p
48    Biological function annotation, canonical pathway analysis, and in situ analysis of identified res
49  based on Gene Ontology enrichment analysis, pathway analysis, and KEGG enrichment analysis.
50 rdiac synaptosome exocytosis, microarray and pathway analysis, and multitissue histology.
51 idates, which include functional annotation, pathway analysis, and protein-protein interaction networ
52 A targets were identified by using Ingenuity Pathway Analysis, and putative piRNA targets were identi
53 on analysis was performed using Ingenuity(R) Pathway Analysis, and the proteins of interest were vali
54 ill widely in use for functional annotation, pathway analysis, and, most importantly, the reconstruct
55                                 The proposed pathway analysis approach is available in the Reactome p
56 of traditional statistical and computational pathway analysis approaches have been used to identify o
57 ys in tumors from mRNA data alone, but these pathway analysis approaches remain qualitative and impre
58 the over-testing concerns arising with other pathway analysis approaches.
59 ate to the pathway enrichment analysis tool 'Pathway Analysis by Randomization Incorporating Structur
60                                    Metabolic pathway analysis, combined with hydrocarbon compositiona
61                                        Using pathway analysis, compounds associated with arginine and
62 ated with the WNT signalling pathway; formal pathway analysis confirmed a statistically significant (
63                              Personalized O2 pathway analysis could identify patients most likely to
64                       Focused bioinformatics pathway analysis demonstrated that IgE activation aligne
65                                    Ingenuity Pathway Analysis demonstrated that monocyte aggregates h
66                                    Ingenuity Pathway Analysis demonstrated that the upstream regulato
67                                              Pathway analysis demonstrated that the VP35 mutation unb
68                             Cortico-thalamic pathway analysis demonstrates segregation and integratio
69                                    Ingenuity pathway analysis demonstrates significant activation of
70                                              Pathway analysis did not reveal regulators of these 150
71  PathVisioRPC enables data visualisation and pathway analysis directly from within various analytical
72      Therefore, tools are needed that enable pathway analysis directly within the same scripting lang
73                   Here, we develop direction pathway analysis (DPA), which can be applied to test hyp
74                                   Functional pathway analysis found an enrichment of upregulated gene
75                               RNA sequencing pathway analysis from the prefrontal cortex (PFC) of mal
76                    In addition, an ingenuity pathway analysis further implicates IFNgamma, IFNalpha,
77                                          The pathway analysis further revealed that c-Myc-regulated g
78  methods, including hierarchical clustering, pathway analysis, gene set enrichment analysis, and part
79              Based on GO enrichment and KEGG pathway analysis, genes associated with microtubule-base
80 l effect sizes of causal variants, for which pathway analysis has been proposed as a promising altern
81                      Gene prioritization and pathway analysis have focused on a priori hypotheses and
82                                              Pathway analysis identified association with nitric oxid
83                                              Pathway analysis identified correlates of severity, incl
84                                            A pathway analysis identified four associated pathways, in
85 oto Encyclopedia of Genes and Genomes (KEGG) pathway analysis identified gender-specific target genes
86                                              Pathway analysis identified glycolysis as the top SIRT5-
87                                  Metabolomic pathway analysis identified lipid pathways, consistent w
88                                    Ingenuity Pathway Analysis identified signaling of inflammatory re
89                                    Ingenuity pathway analysis identified significant activation of pa
90                                              Pathway analysis identified significant clusters of diff
91                                  Network and pathway analysis identified SMAD-specific E3 ubiquitin p
92                Gene expression profiling and pathway analysis identified upregulation of 17 putative
93                                              Pathway analysis identified WNT, PKA and TGF-beta signal
94 in-protein interaction, gene expression, and pathway analysis, identified immune genes and pathways s
95 to whole-transcriptome sequencing, ingenuity pathway analysis, immunofluorescence, and nerve elongati
96                                              Pathway analysis implicated ascorbate and aldarate metab
97                                   Integrated pathway analysis implicated the involvement of extracell
98                                              Pathway analysis implicates splicing in cellular PRMT5 d
99  and overlaid regulated genes into ingenuity pathway analysis in patients with isolated MR.
100        We then performed a meta-analysis and pathway analysis in the combined AD and small vessel str
101                                              Pathway analysis incorporates prior biological knowledge
102 g alpha-cell from a healthy adult, for which pathway analysis indicated activation of the cell cycle
103                                              Pathway analysis indicated downshifting of fatty acid ox
104                                    Canonical pathway analysis indicated significant enrichment of ner
105 mprehensive disease annotation and canonical pathway analysis indicated that immune cells, adipocytes
106                                              Pathway analysis indicated that Meq transcriptionally re
107                                              Pathway analysis indicated that these differences are du
108                                    Ingenuity Pathways Analysis indicated that three genes belonging t
109                                    Ingenuity pathway analysis indicates GCN2 independently influences
110 predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regu
111  learning-based methods require performing a pathway analysis initially and then mapping the pathway
112 marker pattern was run against the Ingenuity Pathway Analysis (IPA) database, containing annotated da
113                                    Ingenuity Pathway Analysis (IPA) indicated that miRNA abundant in
114 m a single cluster of 35 using the Ingenuity Pathway Analysis (IPA) Knowledge Base.
115                                    Ingenuity pathway analysis (IPA) revealed that these genes alter c
116 , vitamin and mineral metabolism' (Ingenuity Pathway Analysis (IPA) score 61).
117                              Using Ingenuity Pathway Analysis (IPA), we showed that these genes were
118 e implemented and available within Ingenuity Pathway Analysis (IPA).
119                    The knowledge base-driven pathway analysis is becoming the first choice for many i
120                                            A pathway analysis is then often performed in order to gen
121                                  The goal of pathway analysis is to identify the pathways that are si
122                                   Subsequent pathway analysis is usually performed using dedicated ex
123                                              Pathway analysis is widely used in omics studies.
124                         Gene set testing, or pathway analysis, is a bioinformatics technique that per
125              Most current gene enrichment or pathway analysis lack the recognition of the inherent co
126                                      Genetic pathway analysis (MAGMA) was used to evaluate the relati
127        We extended the PARADIGM algorithm, a pathway analysis method for combining multiple '-omics'
128 is model is an initial attempt of optimizing pathway analysis methodology.
129                                         Most pathway analysis methods are not designed for mechanisti
130      In this work, we propose a set of three pathway analysis methods based on the impact analysis, t
131 s to systematically and objectively evaluate pathway analysis methods by employing any number of data
132                                              Pathway analysis methods have a broad range of applicati
133              Over the past few years several pathway analysis methods have been proposed for explorin
134   These results were further complemented by pathway analysis (Molecular Mechanisms of Cancer, p53-,
135 NF-kappaB interacting proteins recognized by pathway analysis, needs to be further investigated in re
136                              Single-molecule pathway analysis of 'allowed' and 'forbidden' reactions
137                                              Pathway analysis of binding sites for these three microR
138                                              Pathway analysis of candidate genes expressed in human i
139                                              Pathway analysis of cis-acting genes in the amplificatio
140                                              Pathway analysis of differentially expressed genes indic
141 red in cellular morphology and adhesion, and pathway analysis of differentially expressed genes sugge
142 tional time series profiles and a functional pathway analysis of drug resistance and ATRA-induced cel
143                                              Pathway analysis of expressed genes identified no shared
144                                              Pathway analysis of gene expression changes during TLR3
145                                    Canonical pathway analysis of genes preferentially dysregulated in
146                                              Pathway analysis of GWAS data was significantly enriched
147 present the largest comparative cross-cancer pathway analysis of GWAS to date.
148 oto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of integration data demonstrated that e
149                                              Pathway analysis of LCM data suggested alterations in kn
150                                              Pathway analysis of merged transcriptomic and proteomic
151 y, this work highlights the need for further pathway analysis of metastatic tumours for overcoming dr
152                                              Pathway analysis of microarray data suggested activation
153                                    Ingenuity Pathway Analysis of modified transcripts and genes confi
154 ive workflow for both regular and integrated pathway analysis of multiple omics data.
155                                              Pathway analysis of p-FLCs revealed ERBB2 overexpression
156                                              Pathway analysis of paired miR-184:mRNA targets identifi
157 entical for patients and pigs, but in-silico pathway analysis of proteins with >/=2-fold higher expre
158                                              Pathway analysis of RNA sequencing provided good evidenc
159                                              Pathway analysis of RNA sequencing provided good evidenc
160                                    Ingenuity pathway analysis of RNA-sequencing data identified the u
161                                              Pathway analysis of the 17-gene signature revealed Jak-S
162                                              Pathway analysis of the constructed context-specific m6A
163 at YY1 predominantly binds to promoters, and pathway analysis of the genes that bind YY1 show enrichm
164  cardiovascular risk factors and performed a pathway analysis of the height-associated genes.
165                                              Pathway analysis of the identified secreted proteins sho
166                                              Pathway analysis of the LCL transcriptome revealed, amon
167                                              Pathway analysis of the MCF-7 up-regulated genes located
168                                              Pathway analysis of the meta-analysis results showed str
169                      Gene set enrichment and pathway analysis of the microarray dataset showed enrich
170  addition to basal and luminal clusters, and pathway analysis of the phosphoproteome identified a G-p
171                                              Pathway analysis of the proteomic signature of kidneys f
172                                          The pathway analysis of the putative targets suggested that
173                                              Pathway analysis of the transcriptome indicated that cel
174                                              Pathway analysis of the transcriptomic profile of the in
175                                              Pathway analysis of these 69 genes implicated fibroblast
176 plicated the results of previously published pathway analysis of these phenotypes but also identified
177                         Subsequent Ingenuity Pathway Analysis of these targets reveals implications f
178                                      Reverse pathway analysis of whole-transcriptome data from CDCexo
179 rbital interactions are dominant in the anti pathway, analysis of the variation of the interaction co
180                                              Pathway analysis on SINE treated HMECs further verified
181             Before practically applying such pathway analysis (PA) methods, we must first evaluate th
182            Protein interaction network-based pathway analysis (PINBPA) for genome-wide association st
183                                              Pathway analysis placed 14 of the 19 peptides into cellu
184  widely used cloud-based data processing and pathway analysis platform.
185                                  The patient-pathway analysis (PPA) is designed to assess the alignme
186                                  The patient-pathway analysis (PPA) methodology detailed in this arti
187                                    A patient-pathway analysis (PPA) was completed to assess the align
188                                    A patient-pathway analysis (PPA) was conducted at the national lev
189                                    A patient pathway analysis (PPA) was conducted to assess the align
190                                              Pathway analysis predicted that HNF-1beta regulates chol
191                                    Ingenuity Pathway Analysis predicted that LPS and MPLA share simil
192                                Bioinformatic pathway analysis predicts that miR-33 represses a cluste
193                                         KEGG pathway analysis revealed a decreased abundance in ribos
194 on changes induced by defeat, and biological pathway analysis revealed a dominant pattern of down-reg
195 encing between pre-PML and NTZ-ctr patients, pathway analysis revealed a high representation of genes
196                                    Ingenuity pathway analysis revealed a more significant upregulatio
197                                              Pathway analysis revealed an association of phosphatidyl
198  undifferentiated state of patient MSCs, and pathway analysis revealed an inverse relationship betwee
199                                              Pathway analysis revealed an overall enrichment of genes
200                                    Ingenuity pathway analysis revealed an up-regulation of genes asso
201 hierarchical cluster analysis and integrated pathway analysis revealed gene alterations that were com
202                                    Signaling pathway analysis revealed involvement of 38 miRNA-target
203  addition to known subset-specific features, pathway analysis revealed marked differences in metaboli
204 CLIP miRNA targetome data sets combined with pathway analysis revealed multiple BHRF1-2 miRNA targets
205                                              Pathway analysis revealed p53 pathway being most influen
206                          Moreover, Ingenuity Pathway analysis revealed several interactions of Zn-exp
207                                   Untargeted pathway analysis revealed several metabolic processes wi
208  antagonist based extensive molecular signal pathway analysis revealed small alterations of the actin
209                                              Pathway analysis revealed strong gene signatures for cel
210                                              Pathway analysis revealed that CTLA-4 blockade induces a
211                                              Pathway analysis revealed that gene expression programs
212                      Furthermore, integrated pathway analysis revealed that increased catabolism of f
213                                              Pathway analysis revealed that miR-184 is potentially in
214                                              Pathway analysis revealed that perturbed physiological p
215                                    Metabolic pathway analysis revealed that several signaling pathway
216                                              Pathway analysis revealed that the experimental regimen
217                                              Pathway analysis revealed that these 3 gene groups were
218                     Interactome and Reactome pathway analysis revealed the interaction of DPSC/SCAP s
219                                              Pathway Analysis revealed the most perturbed pathways to
220                            PARADIGM inferred pathway analysis revealed the network connection of TP63
221                         Downstream signaling pathway analysis revealed the p38 MAPK-mediated activati
222                                        Their pathway analysis revealed unexpected and widespread chan
223                                              Pathway analysis revealed upregulation of various compon
224 oinflammatory cytokines, such as IL6 Further pathway analysis revealed widespread resting enrichment
225                    RNA-seq and comprehensive pathway analysis revealed, that genes related to a recen
226                Gene expression profiling and pathway analysis reveals selection for traits promoting
227                              As predicted by pathway analysis, Roxadustat rescued the hepatic HIF-1 k
228          To our knowledge, this is the first pathway analysis server that introduces and offers visua
229 tome has achieved a stable, high performance pathway analysis service, enabling the analysis of genom
230                                              Pathway analysis showed an increase in chemotaxis, migra
231                                         KEGG pathway analysis showed enrichment of pathways involved
232                                              Pathway analysis showed immunity-related pathways repres
233                 Gene ontology enrichment and pathway analysis showed preferential mitochondrial dysfu
234                                              Pathway analysis showed principally up-regulation of pat
235                                    Ingenuity pathway analysis showed significant enrichment of 36 reg
236                                              Pathway analysis showed that age-dependent methylations
237                                              Pathway analysis showed that miR-939 represents a critic
238               Gene expression microarray and pathway analysis showed that the low concentration of co
239                                    Ingenuity pathway analysis showed that these transcripts belong to
240                                              Pathway analysis showed the highest positive z-score for
241                                   Biological pathway analysis showed the predictive capability of the
242                                              Pathway analysis showed the top canonical pathway in bot
243                                              Pathway analysis shows that signaling by hepatic carbohy
244 ed PathVisioRPC, an XMLRPC interface for the pathway analysis software PathVisio.
245                                    Ingenuity Pathway Analysis software was used to map probes identif
246 Multivariate statistical analysis, Ingenuity pathway analysis software, DIANALAB database and publish
247 (1.4-fold, FDR adjusted p0.05) and Ingenuity Pathway Analysis Software.
248 ncing data were performed by using Ingenuity Pathway Analysis software.
249                                       In the pathway analysis, sphingolipid metabolism was the most s
250    We utilized a comprehensive filtering and pathway analysis strategy comparing miRNA and microarray
251 ains, the function of human orthologs, and a pathway analysis suggested a role of these genes in the
252                                              Pathway analysis suggested enrichment of CNVs intersecti
253                                   Integrated pathway analysis suggested that these genes were related
254                                              Pathway analysis suggested that this might in part be du
255                                            A pathway analysis suggests that cerebral immune and acute
256  (Ig) light chain and HSPA5/BIP Furthermore, pathway analysis suggests that enforced FAM46C expressio
257                                              Pathway analysis suggests that the intervention results
258            Furthermore, the metabolomics and pathway analysis support the view that OAT1 plays a grea
259 eins are involved, we conducted an ingenuity pathway analysis that revealed two significant overlappi
260 ase was intentionally built to allow disease pathway analysis through a systems approach in order to
261                                    Ingenuity Pathway Analysis(TM) (IPA) suggested that curcumin may e
262 etabolism as a reaction network and utilizes pathway analysis to facilitate identification and charac
263               We took advantage of proteomic pathway analysis to functionally link proteins different
264 ide substrates were examined using Ingenuity Pathway Analysis to group them according to the function
265 loci for PBC (Pcombined<5 x 10(-8)) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalli
266  MFCs, Shewanella oneidensis MR-1, and (13)C pathway analysis to investigate the role of formate in e
267 c strategy that combines genome editing with pathway analysis to probe the functions of individual PK
268                                              Pathway analysis to reveal biological mechanisms for res
269  < .05), hierarchical cluster algorithm, and pathway analysis, to identify candidate pathways for pro
270        Consequently, making the full-fledged pathway analysis tool PathVisio available from various s
271 hway analyses were conducted using Ingenuity Pathway Analysis tool.
272                                              Pathway analysis tools are a powerful strategy to analyz
273                            Computer-assisted pathway analysis tools linked IFN-gamma to secretory leu
274 ciated with SNPs were further examined using pathway analysis tools.
275                   We performed a genome-wide pathway analysis using 1,053 reference biological pathwa
276                                              Pathway analysis using European genome-wide association
277 sociated clusters of genes were confirmed by pathway analysis using Ingenuity Pathway Analysis and ge
278                                              Pathway analysis using Ingenuity Pathway Analysis and Ge
279                                              Pathway analysis using two independent methods implicate
280 and get all the functionality of a web based pathway analysis viewer.
281 ality, sex, and clinical site, and Ingenuity Pathway Analysis was applied.
282                                    A patient-pathway analysis was completed to assess the alignment b
283                            A broad, unbiased pathway analysis was conducted, followed by testing the
284                                   Functional pathway analysis was performed and five candidate protei
285 alse discover rate (P < 0.05), and ingenuity pathway analysis was performed for statistical testing o
286           Gene function was investigated and pathway analysis was performed through virus-induced gen
287                                    Ingenuity Pathway Analysis was used for messenger RNA-microRNA int
288                                    Ingenuity Pathway Analysis was used to determine the canonical pat
289                                              Pathway analysis was used to identify the biologic funct
290 ssion-profiling in conjunction with in-depth pathway analysis, we assessed early (24 h) alterations i
291                                          For pathway analysis, we compare the proposed framework vers
292                                        Using pathway analysis, we identified 39 significant (FDR < 0.
293                                     By using pathway analysis, we identified associations between all
294 g transcriptomics and proteomics followed by pathway analysis, we identified pathways affected by Se
295                                        Using pathway analysis, we show that MHC-II(+) cell lines demo
296                           Applying ingenuity pathways analysis, we found that those cytokines interac
297 rmore, quantitative proteomics and ingenuity pathway analysis were used to evaluate the significant a
298                                   Subsequent pathway analysis with GRAIL and DEPICT provided addition
299                               By integrating pathway analysis with population-based genomics, we unra
300                                    Signaling pathway analysis with protein kinase inhibitors demonstr

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