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

Title
Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
Authors
Keywords
Histone modifications, ChIP-seq, Functional data analysis, Stem cells, H1, Roadmap Epigenomics Consortium, H3K4me3, H3K36me3, H3K9ac, H2A.Z
Journal
BioData Mining
Volume 8, Issue 1, Pages -
Publisher
Springer Nature
Online
2015-07-01
DOI
10.1186/s13040-015-0051-7

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now