SCOPUS 정보 검색 플랫폼

Volumn 4, Issue 6, 2008, Pages 589-598

Prediction of cardiac transcription networks based on molecular data and complex clinical phenotypes

(8) Toenjes, Martje a Schueler, Markus a Hammer, Stefanie a Pape, Utz J a,b Fischer, Jenny J a Berger, Felix c Vingron, Martin a Sperling, Silke a

a MAX PLANCK INSTITUTE FOR MOLECULAR GENETICS (Germany)

b FREIE UNIVERSITÄT BERLIN (Germany)

c DEUTSCHES HERZZENTRUM BERLIN (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTION FACTOR;

ALGORITHM; ARTICLE; BINDING SITE; BIOLOGY; CLUSTER ANALYSIS; COHORT ANALYSIS; CONGENITAL HEART MALFORMATION; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORK; GENETICS; HEART MUSCLE CELL; HUMAN; METABOLISM; PATHOPHYSIOLOGY; PHENOTYPE; PREDICTION AND FORECASTING; REPRODUCIBILITY; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BINDING SITES; CLUSTER ANALYSIS; COHORT STUDIES; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; HEART DEFECTS, CONGENITAL; HUMANS; LINEAR MODELS; MYOCYTES, CARDIAC; PHENOTYPE; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; REVERSE TRANSCRIPTASE POLYMERASE CHAIN REACTION; TRANSCRIPTION FACTORS;

EID: 44049084428 PISSN: 1742206X EISSN: 17422051 Source Type: Journal
DOI: 10.1039/b800207j Document Type: Article

Times cited : (17)

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