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SCING: Inference of robust, interpretable gene regulatory networks from single cell and spatial transcriptomics

Summary: 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...

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Autori principali: Russell Littman, Michael Cheng, Ning Wang, Chao Peng, Xia Yang
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2023-07-01
Serie:iScience
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Accesso online:http://www.sciencedirect.com/science/article/pii/S2589004223012014
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