Meta-analysis of inter-species liver co-expression networks elucidates traits associated with common human diseases

PLoS Computational Biology

Volumn 5, Issue 12, 2009, Pages

  Wang, Kai ^a,c   Narayanan, Manikandan ^a   Zhong, Hua ^a,d   Tompa, Martin ^a,b   Schadt, Eric E ^a,e   Zhu, Jun ^a,d  

^a ROSETTA INPHARMATICS   (United States)

^b University of Washington   (United States)

^c PFIZER INC   (United States)

^d SAGE BIONETWORKS   (United States)

^e PACIFIC BIOSCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOCHEMISTRY; CELL SIGNALING; GENE EXPRESSION; MAMMALS;

ANALYSIS APPROACH; CO-EXPRESSION; CO-EXPRESSION NETWORKS; EXPRESSION PROFILE; HUMAN DISEASE; HUMAN SPECIES; META-ANALYSIS; RODENTS SPECIES; SEMIPARAMETRIC; SPECIES SPECIFICS;

CELL ADHESION;

LIPID; STEROL;

ARTICLE; CELL ADHESION; CELL INTERACTION; GENE; GENE EXPRESSION; GENETIC HETEROGENEITY; HUMAN; HYPERLIPIDEMIA; LIPID BLOOD LEVEL; LIVER; LIVER FUNCTION; MOUSE; NON INSULIN DEPENDENT DIABETES MELLITUS; NONHUMAN; RAT; RXRG GENE; SPECIES COMPARISON; STEROL SYNTHESIS; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; DIABETES MELLITUS; DNA MICROARRAY; GENE REGULATORY NETWORK; GENETIC ASSOCIATION; GENETIC PREDISPOSITION; LIPID METABOLISM; META ANALYSIS; METABOLISM; METHODOLOGY; PHYSIOLOGY; REGRESSION ANALYSIS; SIGNAL TRANSDUCTION; SINGLE NUCLEOTIDE POLYMORPHISM; SPECIES DIFFERENCE; SYSTEMS BIOLOGY; TRANSGENIC MOUSE;

RATTUS; RODENTIA;

ANIMALS; COMPUTER SIMULATION; DIABETES MELLITUS; GENE REGULATORY NETWORKS; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LIPID METABOLISM; LIVER; MICE; MICE, TRANSGENIC; MODELS, BIOLOGICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; RATS; REGRESSION ANALYSIS; SIGNAL TRANSDUCTION; SPECIES SPECIFICITY; SYSTEMS BIOLOGY;

EID: 74549189388     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000616     Document Type: Article

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