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DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models
Cenny Taslim,
Tim Huang
, Shili Lin
Research output
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Contribution to journal
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Article
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peer-review
22
Scopus citations
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Dive into the research topics of 'DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models'. Together they form a unique fingerprint.
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Chemistry
Mixture
100%
Statistical Ensemble
80%
Binding Site
40%
Rate
20%
R
20%
Physics
Mixtures
100%
Model
40%
Region
20%
Identifying
20%
Assessments
20%
Computer Science
Identification
80%
High Throughput
20%
Statistical Approach
20%
False Discovery
20%
Material Science
Mixture
100%
Biochemistry, Genetics and Molecular Biology
Binding Site
40%