Identification of transcription factors dictating blood cell development using a bidirectional transcription network-based computational framework

Advanced computational methods exploit gene expression and epigenetic datasets to predict gene regulatory networks controlled by transcription factors (TFs). These methods have identified cell fate determining TFs but require large amounts of reference data and experimental expertise. Here, we prese...

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Detalles Bibliográficos
Autores principales: Heuts, B. M. H., Arza-Apalategi, S., Frölich, S., Bergevoet, S. M., van den Oever, S. N., van Heeringen, S. J., van der Reijden, B. A., Martens, J. H. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636203/
https://www.ncbi.nlm.nih.gov/pubmed/36333382
http://dx.doi.org/10.1038/s41598-022-21148-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636203/
https://www.ncbi.nlm.nih.gov/pubmed/36333382
http://dx.doi.org/10.1038/s41598-022-21148-w

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