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Integrative pathway enrichment analysis of multivariate omics data
PCAWG Drivers and Functional Interpretation Working Group
, PCAWG Consortium
Computer Science
Omenn-Darling Bioengineering Institute
Center for Statistics & Machine Learning
Lewis-Sigler Institute for Integrative Genomics
Princeton Branch of the Ludwig Institute for Cancer Research
Research output
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Contribution to journal
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Article
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peer-review
196
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Keyphrases
Path Analysis
100%
Molecular Pathways
100%
Omics Data
100%
Immune Response
50%
Apoptotic Pathway
50%
RNA-seq Data
50%
Transcriptome
50%
Data Interpretation
50%
Master Regulator
50%
Chromatin Immunoprecipitation (ChIP)
50%
Hippo Pathway
50%
Genome Analysis
50%
Anti-apoptotic
50%
Breast Cancer
50%
Cancer Genes
50%
Enriched Pathways
50%
Infrequent mutations
50%
Tissue Regeneration
50%
Tumor Subtype
50%
Associated Genes
50%
Non-synonymous mutation
50%
Integrative Methods
50%
Multiple Datasets
50%
Cellular Organization
50%
Pan-cancer Analysis
50%
Hypothesis Generation
50%
Systems-level Understanding
50%
Molecular Profile
50%
Genomic Features
50%
Whole-genome Sequence Data
50%
Stem Cell Regulation
50%
Normal Human Tissues
50%
Pathway Annotation
50%
Statistical Fusion
50%
Molecular Datasets
50%
Central Dogma of Molecular Biology
50%
Dataset Annotation
50%
Biochemistry, Genetics and Molecular Biology
Stem Cell
100%
Transcriptomics
100%
Whole Genome Sequencing
100%
Immune Response
100%
Molecular Biology
100%
Normal Human
100%
Oncogene
100%
RNA Sequencing
100%
Tissue Regeneration
100%
Genomics
100%
Pan-cancer
100%
Multi-Omics
100%