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Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps
Rapid advances in single-cell assays have outpaced methods for analysis of those data types. Different single-cell assays show extensive variation in sensitivity and signal to noise levels. In particular, scATAC-seq generates extremely sparse and noisy datasets. Existing methods developed to analyze...
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| Publicado no: | PLoS Comput Biol |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6855564/ https://ncbi.nlm.nih.gov/pubmed/31682608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006555 |
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