Combinatorial epigenetic patterns as quantitative predictors of chromatin biology
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Title
Combinatorial epigenetic patterns as quantitative predictors of chromatin biology
Authors
Keywords
Histone Modification, Epigenetic Mark, Basis Pattern, Matthews Correlation Coefficient, Supervise Machine Learning
Journal
BMC GENOMICS
Volume 15, Issue 1, Pages 76
Publisher
Springer Nature
Online
2014-01-28
DOI
10.1186/1471-2164-15-76
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- (2012) J. Harrow et al. GENOME RESEARCH
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- (2012) Michael M Hoffman et al. NATURE METHODS
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- (2012) Jason Ernst et al. NATURE METHODS
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- (2012) Federico Andrea Santoni NUCLEIC ACIDS RESEARCH
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- (2011) Stuart H. Orkin et al. CELL
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- (2011) Bernadett Papp et al. CELL RESEARCH
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