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Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform.

Authors
  • Madrigal, Pedro
  • Krajewski, Paweł
Type
Published Article
Journal
BioData mining
Publication Date
Jan 01, 2015
Volume
8
Pages
20–20
Identifiers
DOI: 10.1186/s13040-015-0051-7
PMID: 26140054
Source
Medline
Keywords
License
Unknown

Abstract

In summary, we present a methodology to explore and uncover novel patterns of epigenomic variability and covariability in genomic data sets by using a functional eigenvalue decomposition of genomic data. R code is available at: http://github.com/pmb59/KLTepigenome.

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