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SCING: Single Cell INtegrative Gene regulatory network inference elucidates robust, interpretable gene regulatory networks

2022-09-09

Abstract excerpt

Gene regulatory network (GRN) inference is an integral part of understanding physiology and disease. Single cell/nuclei RNAseq (scRNAseq/snRNAseq) data has been used to elucidate cell-type GRNs; however, the accuracy and speed of current scRNAseq-based GRN approaches are suboptimal. Here, we present Single Cell INtegrative Gene regulatory network inference (SCING), a gradient boosting and mutual information based...

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Literature Corpus work
48c117da-9a67-5003-8ca6-bab70fab9d88
DOI
10.1101/2022.09.07.506959
Open publication

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SCING: Single Cell INtegrative Gene regulatory network inference elucidates robust, interpretable gene regulatory networksDOI 10.1101/2022.09.07.506959
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