Anomaly detection in genomic catalogues using unsupervised multi-view autoencoders

Anomaly detection in genomic catalogues using unsupervised multi-view autoencoders

Abstract Background Accurate identification of Transcriptional Regulator binding locations is essential for analysis of genomic regions, including Cis Regulatory Elements. The customary NGS approaches, predominantly ChIP-Seq, can be obscured by data anomalies and biases which are difficult to detect...

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Bibliographic Details
Main Authors: Quentin Ferré, Jeanne Chèneby, Denis Puthier, Cécile Capponi, Benoît Ballester
Format: Article
Language:English
Published: BMC 2021-09-01
Series:BMC Bioinformatics
Subjects:
Genomic assay
Anomaly detection
Cis regulatory element
Unsupervised curation
Convolutional autoencoder
ChIP-seq peak quality
Online Access:https://doi.org/10.1186/s12859-021-04359-2

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https://doi.org/10.1186/s12859-021-04359-2

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