scDoRI gene regulatory networks and peak-level regulatory annotations from a paired single-cell RNA and ATAC atlas of human glioblastoma

Regulatory output from scDoRI applied to a paired single-cell RNA and ATAC (multiome) atlas of human glioblastoma, together with the SCENIC+ networks used for comparison. Part A contains topic-level gene regulatory networks as tensors and edge lists, topic matrices, and the TAP/TRS analysis notebook. Part B contains one AnnData object of 182,677 peaks by 195 transcription factors with in-silico ChIP binding, peak-topic activity, accessibility per cell state, peak UMAP coordinates and gene-peak links. See 00_README.md in this record for full file descriptions and usage. Supporting data for [authors], Manu Saraswat, Laura Rueda-Gensini, Elisa Heinzelmann, Tannia Gracia and Fani Memi et al Analysis code: https://github.com/PMBio/GBM_analysisscDoRI method: https://github.com/bioFAM/scDoRI