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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Detalles Bibliográficos
Autores principales: Behjati Ardakani, Fatemeh, Kattler, Kathrin, Heinen, Tobias, Schmidt, Florian, Feuerborn, David, Gasparoni, Gilles, Lepikhov, Konstantin, Nell, Patrick, Hengstler, Jan, Walter, Jörn, Schulz, Marcel H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596801/
https://www.ncbi.nlm.nih.gov/pubmed/33124660
http://dx.doi.org/10.1093/gigascience/giaa113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596801/
https://www.ncbi.nlm.nih.gov/pubmed/33124660
http://dx.doi.org/10.1093/gigascience/giaa113

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