Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction

Histone-Net: a multi-paradigm computational framework for histone occupancy and modification prediction

Abstract Deep exploration of histone occupancy and covalent post-translational modifications (e.g., acetylation, methylation) is essential to decode gene expression regulation, chromosome packaging, DNA damage, and transcriptional activation. Existing computational approaches are unable to precisely...

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Bibliographic Details
Main Authors: Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Imran Razzak, Andreas Dengel, Sheraz Ahmed
Format: Article
Language:English
Published: Springer 2022-07-01
Series:Complex & Intelligent Systems
Subjects:
Machine learning and deep learning
Supervised kmer embeddings
Multi-label and binary classification
Histone markers
Acetylation $$, $$ , methylation and histone occupancy
Online Access:https://doi.org/10.1007/s40747-022-00802-w

Internet

https://doi.org/10.1007/s40747-022-00802-w

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