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Global Quantitative Modeling of Chromatin Factor Interactions
2014
PLoS Computational Biology
Chromatin is the driver of gene regulation, yet understanding the molecular interactions underlying chromatin factor combinatorial patterns (or the "chromatin codes") remains a fundamental challenge in chromatin biology. Here we developed a global modeling framework that leverages chromatin profiling data to produce a systems-level view of the macromolecular complex of chromatin. Our model ultilizes maximum entropy modeling with regularization-based structure learning to statistically dissect
doi:10.1371/journal.pcbi.1003525
pmid:24675896
pmcid:PMC3967939
fatcat:tfmemhtwk5czdeflr6lpekiejm