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...

Полное описание

Библиографические подробности

Главные авторы:	Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, Imran Razzak, Andreas Dengel, Sheraz Ahmed
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Springer 2022-07-01
Серии:	Complex & Intelligent Systems
Предметы:	Machine learning and deep learning Supervised kmer embeddings Multi-label and binary classification Histone markers Acetylation $$, $$ , methylation and histone occupancy
Online-ссылка:	https://doi.org/10.1007/s40747-022-00802-w
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