Prediction of transcription factors binding events based on epigenetic modifications in different human cells

Dianshuang Zhou
Dianshuang Zhou
Yihan Wang
Yihan Wang
Xingda Zhang
Xingda Zhang
Mu Su
Mu Su
Cong Wang
Cong Wang
Zhongyi Sun
Zhongyi Sun
Baoqing Sun
Baoqing Sun

Epigenomics, 2020.

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Keywords:
binding stateepigenetic modificationsgene expressiontranscription factors

Abstract:

We aim to predict transcription factor (TF) binding events from knowledge of gene expression and epigenetic modifications. TF-binding events based on the Encode project and The Cancer Genome Atlas data were analyzed by the random forest method. We showed the high performance of TF-binding predictive models in GM12878, HeLa, HepG2 and K...More

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