1 signal propagation, signal integration, and
pathway analysis.
2 aminoacyl-tRNA biosynthesis, as analyzed by
pathway analysis.
3 hat incorporates ChIP-seq data into cellular
pathway analysis.
4 is such as biomarker discovery and metabolic
pathway analysis.
5 ion in control women, according to Ingenuity
Pathway Analysis.
6 e Ontology enrichment analysis and Ingenuity
Pathway Analysis.
7 hypergraphs in order to facilitate signaling
pathway analysis.
8 edgeR and functional analysis with Ingenuity
Pathway Analysis.
9 ometry and a novel algorithm of quantitative
pathway analysis.
10 alling was suggested to have a nodal role by
pathway analysis.
11 icted to be the target gene of miR-124-3p by
pathway analysis.
12 CC using functional pair analysis, GSEA, and
pathway analysis.
13 ical pathways in CAD was tested by Ingenuity
Pathway Analysis.
14 omatography-mass spectrometry) and Ingenuity
Pathway Analysis.
15 mal thresholds for hit selection and network/
pathway analysis.
16 ncreatic cancer cells, followed by in silico
pathway analysis.
17 e identified and categorized using Ingenuity
Pathway Analysis.
18 etworks as indicated by functional Ingenuity
Pathway Analysis.
19 ve to resistant melanoma cells and performed
pathway analysis.
20 aracterization of targeted gene networks and
pathway analysis.
21 ed for statistical comparisons and in silico
pathway analysis.
22 discriminant analysis (PLS-DA) and Ingenuity
pathway analysis.
23 -represented signaling pathways by Ingenuity
Pathway Analysis.
24 gery-associated proteins underwent Ingenuity
Pathways Analysis.
25 use of the optimum network might falsify the
pathways analysis.
26 RNA sequencing and Ingenuity
Pathway Analysis 7 d postbleo in recruited AM implicated
27 synteny view, enrichment analysis, metabolic
pathway analysis,
a genome browser, etc.
28 Biological
pathway analysis adjusted for gender, trial randomisatio
29 Ingenuity
Pathway Analysis affirmed several pathways as differenti
30 Apart from the
pathway analysis algorithm, the fundamental innovation o
31 Pathway analysis also identified changes in metabolic pa
32 alysis of the obtained data by the Ingenuity
Pathway Analysis also revealed significant functional di
33 Pathway analysis and "meet-in-the-middle" approach were
34 Gene set enrichment/
pathway analysis and correlation analysis between gene e
35 fied previously, and provides a workflow for
pathway analysis and drug repurposing using GWAS results
36 erstone computational technique for cellular
pathway analysis and engineering, EFM application to gen
37 Furthermore,
pathway analysis and experimental validations identified
38 terized the effect of the novel loci through
pathway analysis and found that pathways involved are no
39 nctional enrichment analysis using Ingenuity
Pathway Analysis and Gene Set Enrichment Analysis.
40 Pathway analysis and immune deconvolution algorithms ide
41 We integrated
pathway analysis and multilevel regional heritability an
42 Through
pathway analysis and network construction, the functions
43 By using bioinformatic
pathway analysis and signaling assays, here we identifie
44 pdates on extensions and services to support
pathway analysis and visualization via popular standalon
45 ed these data using differential expression,
pathway analysis and WGCNA.
46 gene expression analysis, data intersection,
pathway analysis,
and computational approaches including
47 rough protein interaction networks (PIN) and
pathway analysis,
and consider the potential roles in dr
48 were analyzed by transcriptomics, signaling
pathway analysis,
and evaluation of chemotherapies.
49 ct of a toxicant through metabolomic-derived
pathway analysis,
and further, artificial intelligence p
50 riptional profiling of epithelial brushings,
pathway analysis,
and immunohistochemical analysis of br
51 hen be further analyzed using visualization,
pathway analysis,
and other bioinformatics tools.
52 ased transcriptional analysis, combined with
pathway analysis,
and postulate that sAXL accelerates wo
53 The proposed
pathway analysis approach is available in the Reactome p
54 Herein, we describe a novel Bayesian
pathway analysis approach, the algorithm for learning pa
55 Furthermore, the majority of the
pathway analysis approaches rely on the assumption of un
56 The article then reviews alternative
pathway analysis approaches that aim to reduce the EFM s
57 ys targeted by the perturbation when current
pathway analysis approaches utilizing only the TS of the
58 the over-testing concerns arising with other
pathway analysis approaches.
59 revisit a fundamental question in signaling
pathway analysis:
are two molecules "connected" in a net
60 racteristic like bottleneck, degree, GO term/
pathways analysis,
bio-kinetics simulation, molecular do
61 ate to the pathway enrichment analysis tool '
Pathway Analysis by Randomization Incorporating Structur
62 g the various modeling approaches, metabolic
pathway analysis can dissect the basic functional modes
63 Metabolic
pathway analysis,
combined with hydrocarbon compositiona
64 Using
pathway analysis,
compounds associated with arginine and
65 and Kyoto Encyclopedia of Genes and Genomes
pathway analysis confirmed the dominance of the IL-17A s
66 N-of-1-
pathways analysis confirmed differential upregulation of
67 Personalized O2
pathway analysis could identify patients most likely to
68 orporation of signal flow and integration in
pathway analysis could rank the pathways based on modula
69 n of biological pathways with our Integrated
Pathway Analysis Database showed that these 26 peptides
70 uencing, quantitative RT-PCR, and subsequent
pathway analysis demonstrated activation of inflammatory
71 Pathway analysis demonstrated association with Oxidative
72 Pathway analysis demonstrated that extracellular matrix,
73 Focused bioinformatics
pathway analysis demonstrated that IgE activation aligne
74 overall survival between these clusters, and
pathway analysis demonstrates different oncogenic mechan
75 Pathway analysis did not reveal regulators of these 150
76 We performed transcriptional profiling and
pathway analysis for each stimulus.
77 This includes the addition of
pathway analysis for the identification of enriched biol
78 Functional
pathway analysis found an enrichment of upregulated gene
79 RNA sequencing
pathway analysis from the prefrontal cortex (PFC) of mal
80 The follow-up
pathway analysis from tissue-specific genes for asthma s
81 In addition, an ingenuity
pathway analysis further implicates IFNgamma, IFNalpha,
82 In silico
pathway analysis further indicated circadian regulation
83 Ingenuity
pathway analysis further revealed that Nrf2-KO and Keap1
84 After KEGG
pathway analysis,
genes associated with 'cancer' pathway
85 Pathway analysis highlighted processes previously implic
86 Ingenuity
pathway analysis identified "HSC Activation" as the high
87 Pathway analysis identified correlates of severity, incl
88 Gene ontology and
pathway analysis identified endoplasmic reticulum stress
89 oto Encyclopedia of Genes and Genomes (KEGG)
pathway analysis identified gender-specific target genes
90 Pathway analysis identified gene networks regulating ste
91 Pathway analysis identified IFN-gamma and IL-1beta as th
92 Pathway analysis identified proliferative and mitochondr
93 Ingenuity
Pathway Analysis identified signaling of inflammatory re
94 Ingenuity
pathway analysis identified STAT3 and HGF as top regulat
95 Metagenomic
pathway analysis identified steroid biosynthesis as the
96 Pathway analysis identified up-regulation of genes invol
97 to whole-transcriptome sequencing, ingenuity
pathway analysis,
immunofluorescence, and nerve elongati
98 matic analysis of DE proteins with Ingenuity
Pathway Analysis implicate progenitor-dependent function
99 Pathway analysis implicated ascorbate and aldarate metab
100 Integrated
pathway analysis implicated the involvement of extracell
101 Pathway analysis implicates immunity, lipid metabolism,
102 Pathway analysis implicates splicing in cellular PRMT5 d
103 olymph and bacteriocyte, alongside metabolic
pathway analysis in host and symbiont, enable prediction
104 Alternatively, gene ontology and
pathway analysis in tissues indicated increased protein
105 Pathway analysis indicated decreased signaling via TGF-b
106 Pathway analysis indicated that aberrantly methylated DE
107 This
pathway analysis indicated that acyl-lipid pathways, inc
108 Pathway analysis indicated that arsenic exposure differe
109 Pathway analysis indicated that breaking up of prolonged
110 Pathway analysis indicated that ESR1 and IFN-alpha may b
111 messenger RNA expression, and cell-signaling
pathway analysis indicated that transient aggressive ant
112 Ingenuity
pathway analysis indicated topo IIbeta and immunophenoty
113 Ingenuity
Pathways Analysis indicated that three genes belonging t
114 Ingenuity
pathway analysis indicates GCN2 independently influences
115 predominantly expressed in brain tissue, and
pathway analysis indicates the involvement of genes regu
116 marker pattern was run against the Ingenuity
Pathway Analysis (
IPA) database, containing annotated da
117 Ingenuity
pathway analysis (
IPA) determined 10 of the 13 e-miRNAs
118 Ingenuity
Pathway Analysis (
IPA) predicted that platelet-COX-1-ko
119 anscriptomics analysis followed by Ingenuity
Pathway Analysis (
IPA) revealed upregulation of angiogen
120 Ingenuity
Pathway Analysis (
IPA) showed that LINC00313 overexpress
121 The QIAGEN Ingenuity
Pathway Analysis (
IPA) shows that high levels of ethanol
122 Ingenuity
Pathway Analysis (
IPA) was used to identify gene network
123 in proliferation predicted via Ingenuity(R)
Pathway Analysis (
IPA), characteristics associated with
124 Using Ingenuity
Pathway Analysis (
IPA), we showed that these genes were
125 array (RPPA) and then subjected to Ingenuity
Pathway Analysis (
IPA).
126 Pathway analysis is suggestive of integrins transducing
127 Pathway analysis is widely used in omics studies.
128 Pathway analysis is widely used to gain mechanistic insi
129 germline variants in a broad gene spectrum,
pathway analysis leads to top networks centering around
130 Genetic
pathway analysis (
MAGMA) was used to evaluate the relati
131 The function annotation of the DE genes from
pathway analysis matches the clinical features.
132 the most comprehensive comparative study on
pathway analysis methods available to date.
133 In this work, we propose a set of three
pathway analysis methods based on the impact analysis, t
134 s to systematically and objectively evaluate
pathway analysis methods by employing any number of data
135 te a reliable benchmark against which future
pathway analysis methods could and should be tested.
136 Pathway analysis methods have a broad range of applicati
137 tance of this type of analysis, more than 70
pathway analysis methods have been proposed so far.
138 are the actual performance of 13 widely used
pathway analysis methods in over 1085 analyses.
139 Comparison with state-of-the-art
pathway analysis methods shows that BONITA has higher se
140 Further, our review concludes that
pathway analysis methods that target specific pathway pr
141 atic analyses were performed using Ingenuity
Pathway Analysis,
miRDB, and Qlucore Omics Explorer.
142 These results were further complemented by
pathway analysis (
Molecular Mechanisms of Cancer, p53-,
143 Pathway analysis of AGO-PAR-CLIP-identified miR targets
144 Pathway analysis of binding sites for these three microR
145 Pathway analysis of cultured cytokine-producing human T
146 Annotation and
pathway analysis of DEGs between susceptible and resista
147 Pathway analysis of expressed genes identified no shared
148 Canonical
pathway analysis of genes preferentially dysregulated in
149 Array and
pathway analysis of IL-1beta-stimulated KCs revealed tha
150 ive workflow for both regular and integrated
pathway analysis of multiple omics data.
151 Global transcriptome and Ingenuity
Pathway Analysis of murine bone marrow-derived macrophag
152 entical for patients and pigs, but in-silico
pathway analysis of proteins with >/=2-fold higher expre
153 Pathway analysis of published data of differentially exp
154 Pathway analysis of RNA expression identified a number o
155 Pathway analysis of RNA sequencing provided good evidenc
156 In addition,
pathway analysis of RNA-seq data highlighted putative bi
157 -migration genes, as determined by ingenuity
pathway analysis of RNA-Seq data.
158 Pathway analysis of the 17-gene signature revealed Jak-S
159 Pathway analysis of the gene expression profile and in v
160 Pathway analysis of the LCL transcriptome revealed, amon
161 Gene set enrichment and
pathway analysis of the microarray dataset showed enrich
162 Pathway analysis of the NMDE proteome revealed 44 additi
163 addition to basal and luminal clusters, and
pathway analysis of the phosphoproteome identified a G-p
164 ic regulation for additional data mining and
pathway analysis of the process of MSC chondrogenesis.
165 Pathway analysis of the proteomic data suggested that ou
166 The
pathway analysis of the putative targets suggested that
167 Pathway analysis of the top 100 differentially expressed
168 Pathway analysis of the transcriptome indicated that cel
169 Pathway analysis of the transcriptomic profile of the in
170 Pathway analysis of these compounds revealed that juveni
171 as contributions from each of the genes, and
pathway analysis of these contributions shows that the h
172 Subsequent Ingenuity
Pathway Analysis of these targets reveals implications f
173 Pathway analysis of transcriptomic data reveals that dow
174 Reverse
pathway analysis of whole-transcriptome data from CDCexo
175 The biofunctions and
pathways analysis of DEGs revealed that cellular assembl
176 Proteomic data, RNA sequencing, and
pathway analysis on predicted and validated targets of t
177 Before practically applying such
pathway analysis (
PA) methods, we must first evaluate th
178 The patient-
pathway analysis (
PPA) is designed to assess the alignme
179 The patient-
pathway analysis (
PPA) methodology detailed in this arti
180 A patient-
pathway analysis (
PPA) was completed to assess the align
181 A patient-
pathway analysis (
PPA) was conducted at the national lev
182 A patient
pathway analysis (
PPA) was conducted to assess the align
183 Ingenuity
Pathway Analysis predicted that LPS and MPLA share simil
184 Subsequent ingenuity
pathway analysis predicted the miRNAs to regulate Th2 po
185 meta-analysis problem into a set of standard
pathway analysis problems that have been solved efficien
186 of mapping, peak calling, motif finding, and
pathway analysis results are also provided in CSA.
187 hat will facilitate visual interpretation of
pathway analysis results.
188 Pathway analysis revealed "Glioma", "Signalling pathways
189 KEGG
pathway analysis revealed a decreased abundance in ribos
190 Pathway analysis revealed a differentiation trajectory a
191 on changes induced by defeat, and biological
pathway analysis revealed a dominant pattern of down-reg
192 encing between pre-PML and NTZ-ctr patients,
pathway analysis revealed a high representation of genes
193 Pathway analysis revealed a significant overrepresentati
194 Pathway analysis revealed an association of phosphatidyl
195 DAVID
pathway analysis revealed an enrichment of cellular path
196 Pathway analysis revealed an overall enrichment of genes
197 Pathway analysis revealed different biologic processes r
198 Pathway analysis revealed differential gene-expression c
199 n BCNR vs BCR and BCR vs BM respectively and
pathway analysis revealed enrichment for genes involved
200 Pathway analysis revealed enrichment of calcium, Wnt and
201 Pathway analysis revealed enrichment of hit genes from t
202 markedly different between the 2 groups, and
pathway analysis revealed frequently opposed responses b
203 Pathway analysis revealed further sub-significant FMREs
204 Pathway analysis revealed genetic evidence for differenc
205 Pathway analysis revealed mitochondrial oxidative phosph
206 CLIP miRNA targetome data sets combined with
pathway analysis revealed multiple BHRF1-2 miRNA targets
207 Pathway analysis revealed nine significantly enriched ge
208 bal transcriptomic signatures, and Ingenuity
Pathway Analysis revealed predicted dysfunction in epith
209 Untargeted
pathway analysis revealed several metabolic processes wi
210 Moreover, ingenuity
pathway analysis revealed that an indirect interaction e
211 Enriched
pathway analysis revealed that FZD3 inhibits transcripti
212 Overall, KEGG
pathway analysis revealed that GB feeding led to the enr
213 Furthermore, integrated
pathway analysis revealed that increased catabolism of f
214 Pathway analysis revealed that inflammatory mediators of
215 Ingenuity
pathway analysis revealed that pembrolizumab-treated iTr
216 Pathway analysis revealed that the experimental regimen
217 Pathway analysis revealed that the SE-regulated genes we
218 Ingenuity
Pathway Analysis revealed that the top 12 differentially
219 Pathway analysis revealed that these 3 gene groups were
220 Interactome and Reactome
pathway analysis revealed the interaction of DPSC/SCAP s
221 PARADIGM inferred
pathway analysis revealed the network connection of TP63
222 Furthermore, the
pathway analysis revealed the presence of 229 and 943 ge
223 Their
pathway analysis revealed unexpected and widespread chan
224 Pathway analysis revealed up-regulated AA metabolism, ar
225 Pathway analysis revealed upregulation of various compon
226 oinflammatory cytokines, such as IL6 Further
pathway analysis revealed widespread resting enrichment
227 RNA-seq and comprehensive
pathway analysis revealed, that genes related to a recen
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 KEGG
pathway analysis showed 20 pathways were significantly e
231 Pathway analysis showed an increase in chemotaxis, migra
232 Pathway analysis showed enrichment of processes affected
233 Pathway analysis showed principally up-regulation of pat
234 Pathway analysis showed radiation-specific enrichment of
235 Ingenuity
pathway analysis showed significant enrichment of 36 reg
236 Pathway analysis showed that age-dependent methylations
237 Pathway analysis showed that certain metabolomic and dis
238 Signaling
pathway analysis showed that H3K9 acetylation changes ar
239 Transcriptomic expression and
pathway analysis showed that several genes related in bl
240 Pathway analysis showed that the three phosphatidylcholi
241 Pathway analysis showed the highest positive z-score for
242 Pathway analysis showed the top canonical pathway in bot
243 Genome-wide
pathway analysis showed total of 16 enriched hierarchica
244 Canonical
pathway analysis showed upregulation of oxidative phosph
245 KEGG
pathway analysis shows that the miRNAs that are differen
246 Ingenuity
pathway analysis shows that urinary sodium and potassium
247 and pathway analyses of DEGs using Ingenuity
Pathway Analysis software revealed significant associati
248 Multivariate statistical analysis, Ingenuity
pathway analysis software, DIANALAB database and publish
249 ncing data were performed by using Ingenuity
Pathway Analysis software.
250 (1.4-fold, FDR adjusted p0.05) and Ingenuity
Pathway Analysis Software.
251 In the
pathway analysis,
sphingolipid metabolism was the most s
252 We utilized a comprehensive filtering and
pathway analysis strategy comparing miRNA and microarray
253 canonical pathways, identified by Ingenuity
Pathways Analysis,
such as LXR/RXR, FXR/RXR activation (
254 Pathway analysis suggested differences in protein synthe
255 Further,
pathway analysis suggested direct involvement of miRNA-2
256 Canonical
pathway analysis suggested that Keap1-KO activated four
257 Integrated
pathway analysis suggested that these genes were related
258 Pathway analysis suggested that this might in part be du
259 A
pathway analysis suggests that cerebral immune and acute
260 (Ig) light chain and HSPA5/BIP Furthermore,
pathway analysis suggests that enforced FAM46C expressio
261 Ingenuity
pathway analysis suggests that several components of glu
262 Furthermore,
pathway analysis suggests that Sfxn3 may be associated w
263 Pathway analysis suggests that the intervention results
264 Furthermore, the metabolomics and
pathway analysis support the view that OAT1 plays a grea
265 Pathway analysis supports that Apatinib can be repurpose
266 A complementary
pathways analysis that emphasizes the cumulative aspects
267 In
pathway analysis the differentially expressed genes in p
268 ase was intentionally built to allow disease
pathway analysis through a systems approach in order to
269 We then performed canonical
pathway analysis to determine potential mechanistic sign
270 Application of BONITA
pathway analysis to previously validated RNA-sequencing
271 c strategy that combines genome editing with
pathway analysis to probe the functions of individual PK
272 studies and improve mechanistic studies and
pathway analysis to understand how diet diversity modula
273 < .05), hierarchical cluster algorithm, and
pathway analysis,
to identify candidate pathways for pro
274 nd Identification of Non-Coding Targets is a
pathway analysis tool, implemented in Java that identifi
275 It is thus not clear if functional TF and
pathway analysis tools established for bulk sequencing c
276 Pathway analysis using global miRNA and chromosomal copy
277 Secondly, predictive metabolic
pathway analysis using the 16S rRNA gene data revealed t
278 Pathway analysis validation was performed using real-tim
279 and get all the functionality of a web based
pathway analysis viewer.
280 ality, sex, and clinical site, and Ingenuity
Pathway Analysis was applied.
281 A patient-
pathway analysis was completed to assess the alignment b
282 d positions (DMPs) and regions (DMRs), and a
pathway analysis was performed on the DMR annotated gene
283 Gene function was investigated and
pathway analysis was performed through virus-induced gen
284 Canonical
pathway analysis was performed.
285 Ingenuity
Pathway analysis was performed.
286 Gene expression
pathway analysis was used to compare the functional netw
287 Ingenuity
Pathway Analysis was used to determine the canonical pat
288 Finally, by integrating genomics data and
pathway analysis,
we find that the differential effects
289 Using
pathway analysis,
we identified 39 significant (FDR < 0.
290 Through
pathway analysis,
we identified enriched pathways shared
291 Using single-gene SCNA
pathway analysis,
we observed that both cAMP and Fanconi
292 Using
pathway analysis,
we show that MHC-II(+) cell lines demo
293 Applying ingenuity
pathways analysis,
we found that those cytokines interac
294 f gene expression and asthma phenotypes, and
pathway analysis were performed in bronchial epithelial
295 Gene ontology and network
pathway analysis were performed using DAVID Bioinformati
296 ng, gene expression profiling, and Ingenuity
Pathway Analysis were used to identify differentially ac
297 ing these challenges is gene set testing, or
pathway analysis,
which can mitigate sparsity and noise,
298 he results of the other kits at the level of
pathway analysis while providing a combination of option
299 In the overall ranking
Pathway Analysis with Down-weighting of Overlapping Gene
300 Signaling
pathway analysis with protein kinase inhibitors demonstr