The assessment of histone acetylation marks in the vicinity of transcription factor binding sites in human CD4 + T cells using information theory methods-Reference-Cited by-同舟云学术

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The assessment of histone acetylation marks in the vicinity of transcription factor binding sites in human CD4 + T cells using information theory methods

Published:2020-06 Issue: Volume:86 Page:107232
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Banirazi Motlagh Nafiseh,Mohammadpour Esfahani Bahram,Ashrafi Behnoosh,Zare-Mirakabad Fatemeh

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference31 articles.

1. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems;Abadi,2015

2. Essential Cell Biology;Alberts,2014

3. Computational analysis of the synergy among multiple interacting genes;Anastassiou;Mol. Syst. Biol.,2007

4. Histone modifications in transcriptional regulation;Berger Shelley;Curr. Opin. Genet. Dev.,2002

5. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning in Genomics;Machine Learning and Systems Biology in Genomics and Health;2022

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