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SCING: Inference of robust, interpretable gene regulatory networks from single cell and spatial transcriptomics
Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNA-seq (scRNA-seq/snRNA-seq) data has been used to elucidate cell-type GRNs; however, the accuracy and speed of current scRNAseq-based GRN approaches are suboptimal. Here, we pres...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10331489/ https://www.ncbi.nlm.nih.gov/pubmed/37434694 http://dx.doi.org/10.1016/j.isci.2023.107124 |