Reverse causal reasoning: Applying qualitative causal knowledge to the interpretation of high-throughput data

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Catlett, Natalie L ^a   Bargnesi, Anthony J ^a   Ungerer, Stephen ^a   Seagaran, Toby ^a   Ladd, William ^a   Elliston, Keith O ^a   Pratt, Dexter ^a  

^a Selventa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MECHANISMS; CAUSE-AND-EFFECT RELATIONSHIPS; COMPREHENSIVE INFORMATION; DIFFERENTIAL MEASUREMENTS; ENGINEERING ALGORITHMS; ENGINEERING METHODOLOGY; GENE EXPRESSION PROFILING; MEASUREMENT TECHNOLOGIES;

KNOWLEDGE BASED SYSTEMS; REVERSE ENGINEERING;

GENE EXPRESSION;

HISTONE LYSINE METHYLTRANSFERASE; NUCLEAR PROTEIN; WHSC1L1 PROTEIN, HUMAN; MOLECULAR PROBE;

ALGORITHM; ANIMAL; ARTICLE; BREAST; CYTOLOGY; EPITHELIUM CELL; GENE EXPRESSION PROFILING; GENETICS; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME; INSULIN RESISTANCE; KNOWLEDGE BASE; METHODOLOGY; MICROARRAY ANALYSIS; MOLECULAR PROBE; MOUSE; VASCULAR ENDOTHELIUM; PROCEDURES;

ALGORITHMS; ANIMALS; BREAST; ENDOTHELIUM, VASCULAR; EPITHELIAL CELLS; GENE EXPRESSION PROFILING; GENOME, HUMAN; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HISTONE-LYSINE N-METHYLTRANSFERASE; HUMANS; INSULIN RESISTANCE; KNOWLEDGE BASES; MICE; MICROARRAY ANALYSIS; MOLECULAR PROBES; NUCLEAR PROTEINS;

EID: 84887870659     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-340     Document Type: Article

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