Laura Cantini
Laura Cantini
Chargé de Recherce CNRS, Computational Systems Biology Team at IBENS, UMR8197
Email verificata su ens.fr - Home page
Titolo
Citata da
Citata da
Anno
Detection of gene communities in multi-networks reveals cancer drivers
L Cantini, E Medico, S Fortunato, M Caselle
Scientific reports 5 (1), 1-10, 2015
832015
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), 1-12, 2015
642015
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
402019
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
362019
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), 1-11, 2017
362017
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
352017
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), 1-17, 2020
20*2020
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 (6), 1585-1608, 2014
15*2014
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), 1-12, 2021
14*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
14*2019
A review of computational approaches detecting microRNAs involved in cancer
L Cantini, M Caselle, A Forget, A Zinovyev, E Barillot, L Martignetti
112017
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic data
L Cantini, M Caselle
Scientific reports 9 (1), 1-9, 2019
92019
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
92014
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
52019
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
52019
Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network
A Zinovyev, U Czerwinska, L Cantini, E Barillot, KM Frahm, ...
PLoS computational biology 16 (2), e1007652, 2020
32020
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
22020
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
22018
MMRA MicroRNA master regulator analysis
L Cantini, C Isella, C Petti, G Picco, S Chiola, E Ficarra, M Caselle, ...
22015
Unsupervised Ground Metric Learning using Wasserstein Eigenvectors
GJ Huizing, L Cantini, G Peyré
arXiv preprint arXiv:2102.06278, 2021
12021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20