Correlation set analysis: Detecting active regulators in disease populations using prior causal knowledge

BMC Bioinformatics

Volumn 13, Issue 1, 2012, Pages

  Huang, Chia Ling ^a   Lamb, John ^b   Chindelevitch, Leonid ^b   Kostrowicki, Jarek ^b   Guinney, Justin ^c   DeLisi, Charles ^a   Ziemek, Daniel ^b  

^a Boston University   (United States)

^b PFIZER INC   (United States)

^c SAGE BIONETWORKS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL RELATIONSHIPS; CO-EXPRESSION; DATA-DRIVEN METHODS; DISEASE PROGRESSION; FALSE DISCOVERY RATE; RANK-ORDERED LISTS; REGULATORY RELATIONSHIPS; SIMULATED DATASETS;

ARTICLE; B CELL LYMPHOMA; BIOLOGY; COMPUTER SIMULATION; FEMALE; GENE REGULATORY NETWORK; GENETIC TRANSCRIPTION; GENETICS; HUMAN; METABOLIC DISORDER; METHODOLOGY; OVARY TUMOR; SAMPLE SIZE;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; FEMALE; GENE REGULATORY NETWORKS; HUMANS; LYMPHOMA, B-CELL; METABOLIC DISEASES; OVARIAN NEOPLASMS; SAMPLE SIZE; TRANSCRIPTION, GENETIC;

EID: 84858731892     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-13-46     Document Type: Article

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