quantro: A data-driven approach to guide the choice of an appropriate normalization method

Genome Biology

Volumn 16, Issue 1, 2015, Pages

  Hicks, Stephanie C ^a,b   Irizarry, Rafael A ^a,b  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; DATA ANALYSIS; NORMALIZATION METHOD; SIMULATION; STATISTICAL ANALYSIS; CPG ISLAND; DNA METHYLATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; HIGH THROUGHPUT SEQUENCING; HUMAN; MALE; NORMAL DISTRIBUTION; SOFTWARE;

CPG ISLANDS; DNA METHYLATION; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HUMANS; MALE; NORMAL DISTRIBUTION; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SOFTWARE;

EID: 84936124729     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-015-0679-0     Document Type: Article

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47. quantro additional material and scripts. http://stephaniehicks.github.io/quantroPaper/ .