2 papers
q-bio.MN2026
Uncovering Cellular Resolution in scRNAseq via Unbiased Cell and Gene Network Analysis
Olga lanzetta, Luisa Cutillo, Bailey Andrew +1
Conventional annotation of single-cell RNA-sequencing (scRNA-seq) data relies heavily on manual, marker-based thresholding, an approach that can obscure subtle transcriptomic gradi…
stat.ML2024
A network-constrain Weibull AFT model for biomarkers discovery
Claudia Angelini, Daniela De Canditiis, Italia De Feis +1
We propose AFTNet, a novel network-constraint survival analysis method based on the Weibull accelerated failure time (AFT) model solved by a penalized likelihood approach for varia…