Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package

PLoS Computational Biology

Volumn 12, Issue 4, 2016, Pages

  Tuncbag, Nurcan ^a   Gosline, Sara J C ^a   Kedaigle, Amanda ^a   Soltis, Anthony R ^a   Gitter, Anthony ^a   Fraenkel, Ernest ^a  

^a USA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; PROTEINS; THROUGHPUT;

'OMICS'; ADVANCED NETWORKS; BIOLOGICAL RESPONSE; HIGH-THROUGHPUT; HIGH-THROUGHPUT ASSAYS; MOLECULAR PATHWAYS; NEGATIVE EVIDENCE; NETWORK OPTIMIZATION; NETWORK-BASED; SUBNETWORKS;

SOFTWARE PACKAGES;

COMPUTER PROGRAM; DATA BASE; FOREST; GENE EXPRESSION; GENE EXPRESSION REGULATION; MOLECULAR INTERACTION; NOISE; PROTEIN INTERACTION; ALGORITHM; BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETIC DATABASE; GENETIC EPIGENESIS; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; LUNG TUMOR; METABOLISM; PROTEIN PROTEIN INTERACTION; SOFTWARE; STATISTICS AND NUMERICAL DATA;

TRANSCRIPTION FACTOR;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; EPIGENESIS, GENETIC; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; LUNG NEOPLASMS; PROTEIN INTERACTION MAPS; SOFTWARE; TRANSCRIPTION FACTORS;

EID: 84964720815     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004879     Document Type: Article

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