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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Bibliografische Detailangaben

Hauptverfasser:	Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Imran Razzak, Andreas Dengel, Sheraz Ahmed
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2022-07-01
Schriftenreihe:	Complex & Intelligent Systems
Schlagworte:	Machine learning and deep learning Supervised kmer embeddings Multi-label and binary classification Histone markers Acetylation $$, $$ , methylation and histone occupancy
Online-Zugang:	https://doi.org/10.1007/s40747-022-00802-w
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