Laura Cantini
Laura Cantini
Chargé de Recherce CNRS, Junior Group Leader (G5) Institut Pasteur
Verified email at - Homepage
Cited by
Cited by
Detection of gene communities in multi-networks reveals cancer drivers
L Cantini, E Medico, S Fortunato, M Caselle
Scientific reports 5 (1), 17386, 2015
Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
L Cantini, P Zakeri, C Hernandez, A Naldi, D Thieffry, E Remy, A Baudot
Nature communications 12 (1), 124, 2021
Independent component analysis for unraveling the complexity of cancer omics datasets
N Sompairac, PV Nazarov, U Czerwinska, L Cantini, A Biton, A Molkenov, ...
International Journal of molecular sciences 20 (18), 4414, 2019
MicroRNA–mRNA interactions underlying colorectal cancer molecular subtypes
L Cantini, C Isella, C Petti, G Picco, S Chiola, E Ficarra, M Caselle, ...
Nature communications 6 (1), 8878, 2015
Identification of microRNA clusters cooperatively acting on epithelial to mesenchymal transition in triple negative breast cancer
L Cantini, G Bertoli, C Cava, T Dubois, A Zinovyev, M Caselle, ...
Nucleic acids research 47 (5), 2205-2215, 2019
Interpreting pathways to discover cancer driver genes with Moonlight
A Colaprico, C Olsen, MH Bailey, GJ Odom, T Terkelsen, TC Silva, ...
Nature communications 11 (1), 69, 2020
Determining the optimal number of independent components for reproducible transcriptomic data analysis
U Kairov, L Cantini, A Greco, A Molkenov, U Czerwinska, E Barillot, ...
BMC genomics 18 (1), 1-13, 2017
Classification of gene signatures for their information value and functional redundancy
L Cantini, L Calzone, L Martignetti, M Rydenfelt, N Blüthgen, E Barillot, ...
NPJ systems biology and applications 4 (1), 2, 2017
Optimal transport improves cell–cell similarity inference in single-cell omics data
GJ Huizing, G Peyré, L Cantini
Bioinformatics 38 (8), 2169-2177, 2022
Evaluating the reproducibility of single-cell gene regulatory network inference algorithms
Y Kang, D Thieffry, L Cantini
Frontiers in genetics 12, 362, 2021
Assessing reproducibility of matrix factorization methods in independent transcriptomes
L Cantini, U Kairov, A De Reynies, E Barillot, F Radvanyi, A Zinovyev
Bioinformatics 35 (21), 4307-4313, 2019
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic data
L Cantini, M Caselle
Scientific reports 9 (1), 337, 2019
A review of computational approaches detecting microRNAs involved in cancer
L Cantini, M Caselle, A Forget, A Zinovyev, E Barillot, L Martignetti
Frontiers in Bioscience 22, 1774-1791, 2017
Molecular inverse comorbidity between Alzheimer’s disease and lung cancer: New insights from matrix factorization
A Greco, J Sanchez Valle, V Pancaldi, A Baudot, E Barillot, M Caselle, ...
International Journal of Molecular Sciences 20 (13), 3114, 2019
Stochastic amplification of spatial modes in a system with one diffusing species
L Cantini, C Cianci, D Fanelli, E Massi, L Barletti, M Asllani
Journal of mathematical biology 69, 1585-1608, 2014
Investigating the epi-miRNome: Identification of epi-miRNAs using transfection experiments
E Reale, D Taverna, L Cantini, L Martignetti, M Osella, C De Pittà, F Virga, ...
Epigenomics 11 (14), 1581-1599, 2019
Linear noise approximation for stochastic oscillations of intracellular calcium
L Cantini, C Cianci, D Fanelli, E Massi, L Barletti
Journal of Theoretical Biology 349, 92-99, 2014
An integrated analysis of miRNA and gene expression changes in response to an obesogenic diet to explore the impact of transgenerational supplementation with Omega 3 fatty acids
KF Corral-Jara, L Cantini, N Poupin, T Ye, JP Rigaudière, SDS Vincent, ...
Nutrients 12 (12), 3864, 2020
Unsupervised ground metric learning using wasserstein singular vectors
GJ Huizing, L Cantini, G Peyré
International Conference on Machine Learning, 9429-9443, 2022
Application of independent component analysis to tumor transcriptomes reveals specific and reproducible immune-related signals
U Czerwinska, L Cantini, U Kairov, E Barillot, A Zinovyev
International Conference on Latent Variable Analysis and Signal Separation …, 2018
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