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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...
Gorde:
| Argitaratua izan da: | BMC Bioinformatics |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2021
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| Gaiak: | |
| Sarrera elektronikoa: | 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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