Identification of aberrant pathway and network activity from high-throughput data-workshop introduction

Pacific Symposium on Biocomputing 2011, PSB 2011

Volumn , Issue , 2011, Pages 364-368

  Ochs, M F ^a   Karchin, R ^b   Ressom, H ^c   Gentleman, R ^d  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b Johns Hopkins University   (United States)

^c GEORGETOWN UNIVERSITY   (United States)

^d GENENTECH INC   (United States)

Author keywords

disease; metabolic pathways; Signal pathways; statistics

Indexed keywords

CANCER DEVELOPMENT; CELLULAR PATHWAY; HIGH-THROUGHPUT; HIGH-THROUGHPUT DATA; METABOLIC DISEASE; METABOLIC PATHWAYS; NETWORK ACTIVITIES; SIGNAL PATHWAYS; SIGNALING PATHWAYS; SINGLE GENE MUTATION;

BIOACTIVITY; DIGITAL STORAGE; DISEASES; METABOLISM; STATISTICS;

GENE EXPRESSION;

BIOLOGY; CONFERENCE PAPER; GENETICS; HIGH THROUGHPUT SCREENING; HUMAN; METABOLISM; NEOPLASM; SIGNAL TRANSDUCTION; STATISTICAL MODEL; STATISTICS; SYSTEMS BIOLOGY;

COMPUTATIONAL BIOLOGY; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; METABOLIC NETWORKS AND PATHWAYS; MODELS, STATISTICAL; NEOPLASMS; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY;

EID: 84872209664     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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