Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques

Boosting tissue-specific prediction of active cis-regulatory regions through deep learning and Bayesian optimization techniques

Abstract Background Cis-regulatory regions (CRRs) are non-coding regions of the DNA that fine control the spatio-temporal pattern of transcription; they are involved in a wide range of pivotal processes such as the development of specific cell-lines/tissues and the dynamic cell response to physiolog...

Full description

Bibliographic Details
Main Authors: Luca Cappelletti, Alessandro Petrini, Jessica Gliozzo, Elena Casiraghi, Max Schubach, Martin Kircher, Giorgio Valentini
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Bioinformatics
Subjects:
Neural networks
Deep learning
Prediction of cis-regulatory region
Bayesian optimization
Online Access:https://doi.org/10.1186/s12859-022-04582-5

Internet

https://doi.org/10.1186/s12859-022-04582-5

Similar Items