18 citations · 18 across the 1 of their papers we have counts for
3 papers
stat.ML2021
Unsupervised Ground Metric Learning using Wasserstein Singular Vectors
Geert-Jan Huizing, Laura Cantini, Gabriel Peyré
Defining meaningful distances between samples in a dataset is a fundamental problem in machine learning. Optimal Transport (OT) lifts a distance between features (the "ground metri…
q-bio.QM2019★ 18 cited
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic data
Laura Cantini, Michele Caselle
After its introduction in 1982, the Hopfield model has been extensively applied for classification and pattern recognition. Recently, its great potential in gene expression pattern…
q-bio.MN2018
Identification of microRNA clusters cooperatively acting on Epithelial to Mesenchymal Transition in Triple Negative Breast Cancer
Laura Cantini, Gloria Bertoli, Claudia Cava +6
MicroRNAs play important roles in many biological processes. Their aberrant expression can have oncogenic or tumor suppressor function directly participating to carcinogenesis, mal…