Uncovering correlated variabilityin epigenomic datasets usingthe Karhunen-Loeve transform

BioData Mining

Volumn 8, Issue 1, 2015, Pages

  Madrigal, Pedro ^a,b,c   Krajewski, Paweł ^a  

^a INSTITUTE OF PLANT GENETICS   (Poland)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

Author keywords

ChIP seq; Functional data analysis; H1; H2A.Z; H3K36me3; H3K4me3; H3K9ac; Histone modifications; Roadmap Epigenomics Consortium; Stem cells

Indexed keywords

HISTONE H3; UNTRANSLATED RNA;

ARTICLE; CHROMATIN IMMUNOPRECIPITATION; CONTROLLED STUDY; DATA ANALYSIS; EMBRYO; EMBRYONIC STEM CELL; EPIGENETICS; GENE EXPRESSION; GENETIC VARIABILITY; HISTONE METHYLATION; HUMAN; HUMAN CELL; KARHUNEN LOEVE TRANSFORM; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; STATISTICAL PARAMETERS; TRANSCRIPTION INITIATION SITE; TRANSCRIPTION REGULATION;

EID: 84933508186     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/s13040-015-0051-7     Document Type: Article

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