4 papers
Structured factorization for single-cell gene expression data
Antonio Canale, Luisa Galtarossa, Davide Risso +2
Single-cell gene expression data are often characterized by large matrices, where the number of cells may be lower than the number of genes of interest. Factorization models have e…
Guided structure learning of DAGs for count data
Thi Kim Hue Nguyen, Monica Chiogna, Davide Risso +1
In this paper, we tackle structure learning of Directed Acyclic Graphs (DAGs), with the idea of exploiting available prior knowledge of the domain at hand to guide the search of th…
Co-clustering of Spatially Resolved Transcriptomic Data
Andrea Sottosanti, Davide Risso
Spatial transcriptomics is a modern sequencing technology that allows the measurement of the activity of thousands of genes in a tissue sample and map where the activity is occurri…
Structure learning for zero-inflated counts, with an application to single-cell RNA sequencing data
Thi Kim Hue Nguyen, Koen Van den Berge, Monica Chiogna +1
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 parti…