L. Cantini

发表

Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer

Céline Hernandez, É. Remy, D. Thieffry, 2021, Nature Communications.

Benchmarking joint multi-omics dimensionality reduction approaches for cancer study

Céline Hernandez, É. Remy, D. Thieffry, 2020, bioRxiv.

Molecular Inverse Comorbidity between Alzheimer’s Disease and Lung Cancer: New Insights from Matrix Factorization

E. Barillot, V. Pancaldi, A. Valencia, 2019, bioRxiv.

Molecular Inverse Comorbidity between Alzheimer’s disease and Lung Cancer: new insights from Matrix Factorization

E. Barillot, V. Pancaldi, A. Valencia, 2019, bioRxiv.

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

B. Morio, F. Capel, T. Ye, 2020, Nutrients.

Determining the optimal number of independent components for reproducible transcriptomic data analysis

E. Barillot, A. Zinovyev, L. Cantini, 2017, bioRxiv.

Determining the optimal number of independent components for reproducible transcriptomic data analysis

Andrei Zinovyev, Emmanuel Barillot, Urszula Czerwinska, 2017, BMC Genomics.

Stochastic amplification of spatial modes in a system with one diffusing species

D. Fanelli, L. Cantini, L. Barletti, 2014, Journal of mathematical biology.

Interpreting pathways to discover cancer driver genes with Moonlight

Matthew H Bailey, Gabriel J. Odom, Gianluca Bontempi, 2020, Nature Communications.

Classification of gene signatures for their information value and functional redundancy

E. Barillot, N. Blüthgen, L. Calzone, 2017, bioRxiv.

A review of computational approaches for the detection of micrornas involved in cancer

E. Barillot, L. Martignetti, A. Zinovyev, 2022 .

Identification of microRNA clusters cooperatively acting on epithelial to mesenchymal transition in triple negative breast cancer

E. Barillot, L. Martignetti, A. Zinovyev, 2018, bioRxiv.

Identification of microRNA clusters cooperatively acting on Epithelial to Mesenchymal Transition in Triple Negative Breast Cancer

E. Barillot, L. Martignetti, A. Zinovyev, 2018, bioRxiv.

Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors

L. Cantini, Gabriel Peyr'e, Geert-Jan Huizing, 2021, ICML.

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets

Andrei Zinovyev, Emmanuel Barillot, Alexander Gorban, 2019, International journal of molecular sciences.

Optimal transport improves cell–cell similarity inference in single-cell omics data

G. Peyré, L. Cantini, Geert-Jan Huizing, 2022, Bioinform..

Optimal transport improves cell–cell similarity inference in single-cell omics data

G. Peyré, L. Cantini, Geert-Jan Huizing, 2021, bioRxiv.

Assessing reproducibility of matrix factorization methods in independent transcriptomes

Emmanuel Barillot, Laura Cantini, Ulykbek Kairov, 2019, Bioinform..

Detection of gene communities in multi-networks reveals cancer drivers

Santo Fortunato, Michele Caselle, Enzo Medico, 2015, Scientific Reports.

Paired single-cell multi-omics data integration with Mowgli

G. Peyré, L. Cantini, I. Deutschmann, 2023, bioRxiv.

Classification of gene signatures for their information value and functional redundancy

Nils Blüthgen, Andrei Zinovyev, Emmanuel Barillot, 2017, npj Systems Biology and Applications.

A review of computational approaches detecting microRNAs involved in cancer.

Andrei Zinovyev, Emmanuel Barillot, Loredana Martignetti, 2017, Frontiers in bioscience.

Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic data

Laura Cantini, Michele Caselle, L. Cantini, 2019, Scientific Reports.

Stabilized Independent Component Analysis outperforms other methods in finding reproducible signals in tumoral transcriptomes

Andrei Zinovyev, Emmanuel Barillot, Laura Cantini, 2018, bioRxiv.

Unsupervised computational deconvolution of mixed signals in tumor microenvironment using blind source deconvolution approach

Andrei Zinovyev, Emmanuel Barillot, Urszula Czerwinska, 2018, Annual International Conference on Research in Computational Molecular Biology.

Moonlight: a tool for biological interpretation and driver genes discovery

Gianluca Bontempi, H. Noushmehr, E. Papaleo, 2018, bioRxiv.

Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms

Laura Cantini, Denis Thieffry, Yoonjee Kang, 2020, bioRxiv.

Linear noise approximation for stochastic oscillations of intracellular calcium.

D. Fanelli, L. Cantini, L. Barletti, 2013, Journal of theoretical biology.

MicroRNA–mRNA interactions underlying colorectal cancer molecular subtypes

Elisa Ficarra, Laura Cantini, Claudio Isella, 2015, Nature Communications.

Interpreting pathways to discover cancer driver genes with Moonlight

Gabriel J. Odom, Gianluca Bontempi, H. Noushmehr, 2020, Nature Communications.

Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS

L. Cantini, I. Deutschmann, Remi Trimbour, 2023, bioRxiv.

Determining the optimal number of independent components for reproducible transcriptomic data analysis

E. Barillot, A. Zinovyev, L. Cantini, 2017, bioRxiv.

Stochastic amplification of spatial modes in a system with one diffusing species

D. Fanelli, L. Cantini, L. Barletti, 2013, Journal of Mathematical Biology.