Genes Caught In Flagranti: Integrating Renal Transcriptional Profiles With Genotypes and Phenotypes

Seminars in Nephrology

Volumn 35, Issue 3, 2015, Pages 237-244

  Guan, Yuanfang ^a,b   Martini, Sebastian ^a,c   Mariani, Laura H ^a  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

^c LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

Author keywords

Clinical outcomes; Gene regulation; Predictions; SNP

Indexed keywords

BONE MORPHOGENETIC PROTEIN; TRANSCRIPTION FACTOR; TRANSCRIPTOME;

BAYESIAN LEARNING; BIOINFORMATICS; CHRONIC KIDNEY DISEASE; DIABETIC NEPHROPATHY; FRMD3 GENE; GENE; GENE EXPRESSION PROFILING; GENE FUNCTION; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOTYPE; HUMAN; KIDNEY DISEASE; KIDNEY FUNCTION; LEARNING ALGORITHM; MACHINE LEARNING; MOLECULAR MECHANICS; NORMAL DISTRIBUTION; PHENOTYPE; PRIORITY JOURNAL; PROMOTER REGION; REVIEW; SINGLE NUCLEOTIDE POLYMORPHISM; SUPPORT VECTOR MACHINE; TRANSCRIPTION REGULATION; TRANSCRIPTOMICS; ALGORITHM; BIOLOGY; GENE REGULATORY NETWORK; GENETICS; METABOLISM; PROCEDURES; PROGNOSIS;

ALGORITHMS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENOTYPE; HUMANS; KIDNEY DISEASES; PHENOTYPE; PROGNOSIS;

EID: 84937975666     PISSN: 02709295     EISSN: 15584488     Source Type: Journal    
DOI: 10.1016/j.semnephrol.2015.04.003     Document Type: Review

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