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

标题
Uncovering correlated variability in epigenomic datasets using the Karhunen-Loeve transform
作者
关键词
Histone modifications, ChIP-seq, Functional data analysis, Stem cells, H1, Roadmap Epigenomics Consortium, H3K4me3, H3K36me3, H3K9ac, H2A.Z
出版物
BioData Mining
Volume 8, Issue 1, Pages -
出版商
Springer Nature
发表日期
2015-07-01
DOI
10.1186/s13040-015-0051-7

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started