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