PyMINEr Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq

Abstract

Tyler et al. create PyMINEr, an open-source program (https://www.sciencescott.com/pyminer) that automates analyses of expression datasets without coding. These analyses include clustering, differential expression, pathway analyses, co-expression networks, marker gene identification, and autocrine-paracrine signaling prediction. Integration of seven datasets shows elevated BMP-WNT signaling in cystic fibrosis pancreata.