Comparative analysis and prediction of nucleosome positioning using integrative feature representation and machine learning algorithms

Comparative analysis and prediction of nucleosome positioning using integrative feature representation and machine learning algorithms

Abstract Background Nucleosome plays an important role in the process of genome expression, DNA replication, DNA repair and transcription. Therefore, the research of nucleosome positioning has invariably received extensive attention. Considering the diversity of DNA sequence representation methods,...

Full description

Bibliographic Details
Main Authors: Guo-Sheng Han, Qi Li, Ying Li
Format: Article
Language:English
Published: BMC 2021-06-01
Series:BMC Bioinformatics
Subjects:
Nucleosome classification
Frequency chaos game representation
Support vector machine
Extreme learning machine
Extreme gradient boosting
Convolutional neural networks
Online Access:https://doi.org/10.1186/s12859-021-04006-w

Internet

https://doi.org/10.1186/s12859-021-04006-w

Similar Items