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Prediction of single-cell gene expression for transcription factor analysis
BACKGROUND: Single-cell RNA sequencing is a powerful technology to discover new cell types and study biological processes in complex biological samples. A current challenge is to predict transcription factor (TF) regulation from single-cell RNA data. RESULTS: Here, we propose a novel approach for pr...
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| Publicado no: | Gigascience |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7596801/ https://ncbi.nlm.nih.gov/pubmed/33124660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giaa113 |
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