Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements

Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements

Abstract Background Assigning chromatin states genome-wide (e.g. promoters, enhancers, etc.) is commonly performed to improve functional interpretation of these states. However, computational methods to assign chromatin state suffer from the following drawbacks: they typically require data from mult...

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Bibliographic Details
Main Authors: Tara Eicher, Jany Chan, Han Luu, Raghu Machiraju, Ewy A. Mathé
Format: Article
Language:English
Published: BMC 2021-01-01
Series:BMC Bioinformatics
Subjects:
Chromatin accessibility
Self-organizing maps
Regulatory elements
DNase-seq
ATAC-seq
Promoters
Online Access:https://doi.org/10.1186/s12859-021-03976-1

Internet

https://doi.org/10.1186/s12859-021-03976-1

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