Practical impacts of genomic data "cleaning" on biological discovery using surrogate variable analysis

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Jaffe, Andrew E ^a,b   Hyde, Thomas ^a,c   Kleinman, Joel ^a,c   Weinbergern, Daniel R ^a,c   Chenoweth, Joshua G ^a   McKay, Ronald D ^a   Leek, Jeffrey T ^b   Colantuoni, Carlo ^a,c  

^a LIEBER INSTITUTE FOR BRAIN DEVELOPMENT   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Batch correction; Gene expression; Surrogate variable analysis

Indexed keywords

BRAIN; CELL CULTURE; CLEANING; GENE EXPRESSION; GENES; STEM CELLS;

BIOLOGICAL DISCOVERIES; BIOLOGICAL EFFECTS; BIOLOGICAL SCIENCE; BIOLOGICAL SIGNALS; MOLECULAR BEHAVIOR; STATISTICAL ALGORITHM; TECHNICAL ARTIFACTS; VARIABLE ANALYSIS;

BIOINFORMATICS;

ALGORITHM; ARTIFACT; BIOLOGY; BRAIN; CELL DIFFERENTIATION; CYTOLOGY; GENE EXPRESSION PROFILING; GENOMICS; HIGH THROUGHPUT SEQUENCING; HUMAN; HUMAN GENOME; METABOLISM; PLURIPOTENT STEM CELL; PROCEDURES; REGRESSION ANALYSIS;

ALGORITHMS; ARTIFACTS; BRAIN; CELL DIFFERENTIATION; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENOME, HUMAN; GENOMICS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; PLURIPOTENT STEM CELLS; REGRESSION ANALYSIS;

EID: 84946411824     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0808-5     Document Type: Article

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