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

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 multiple ass...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Eicher, Tara, Chan, Jany, Luu, Han, Machiraju, Raghu, Mathé, Ewy A.
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7847148/
https://ncbi.nlm.nih.gov/pubmed/33516170
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-03976-1
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