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Predicting gene regulatory interactions based on spatial gene expression data and deep learning
Reverse engineering of gene regulatory networks (GRNs) is a central task in systems biology. Most of the existing methods for GRN inference rely on gene co-expression analysis or TF-target binding information, where the determination of co-expression is often unreliable merely based on gene expressi...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764701/ https://www.ncbi.nlm.nih.gov/pubmed/31527870 http://dx.doi.org/10.1371/journal.pcbi.1007324 |