146 citations · 167 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Detection of gene communities in multi-networks reveals cancer drivers
Laura Cantini, Enzo Medico, Santo Fortunato +1
We propose a new multi-network-based strategy to integrate different layers of genomic information and use them in a coordinate way to identify driving cancer genes. The multi-netw…
Linear noise approximation for stochastic oscillations of intracellular calcium
Laura Cantini, Claudia Cianci, Duccio Fanelli +2
A stochastic model of intracellular calcium oscillations is analytically studied. The governing master equation is expanded under the linear noise approximation and a closed predic…
Stochastic Turing Patterns for systems with one diffusing species
Laura Cantini, Claudia Cianci, Duccio Fanelli +2
The problem of pattern formation in a generic two species reaction--diffusion model is studied, under the hypothesis that only one species can diffuse. For such a system, the class…