Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data

1 code implementation • 24 Nov 2020 • Thi Kim Hue Nguyen, Koen Van den Berge, Monica Chiogna, Davide Risso

The problem of estimating the structure of a graph from observed data is of growing interest in the context of high-throughput genomic data, and single-cell RNA sequencing in particular.