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Laura Cantini

Showing results (1-10 of 31) with videos related to

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Scientific Reports|January 25, 2019
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic dataLaura Cantini, Michele Caselle
Nature Communications|September 5, 2024
scConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected featuresJules Samaran, Gabriel Peyré, Laura Cantini
Frontiers in Genetics|April 8, 2021
Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference AlgorithmsYoonjee Kang, Denis Thieffry, Laura Cantini
Bioinformatics (Oxford, England)|March 9, 2024
Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuSRemi Trimbour, Ina Maria Deutschmann, Laura Cantini
Bioinformatics (Oxford, England)|February 14, 2022
Optimal transport improves cell-cell similarity inference in single-cell omics dataGeert-Jan Huizing, Gabriel Peyré, Laura Cantini
Nature Communications|April 16, 2025
scPRINT: pre-training on 50 million cells allows robust gene network predictionsJérémie Kalfon, Jules Samaran, Gabriel Peyré, et al.
Scientific Reports|December 8, 2015
Detection of gene communities in multi-networks reveals cancer driversLaura Cantini, Enzo Medico, Santo Fortunato, et al.
Nature Communications|November 24, 2023
Paired single-cell multi-omics data integration with MowgliGeert-Jan Huizing, Ina Maria Deutschmann, Gabriel Peyré, et al.
Journal of Theoretical Biology|February 8, 2014
Linear noise approximation for stochastic oscillations of intracellular calciumLaura Cantini, Claudia Cianci, Duccio Fanelli, et al.
Frontiers in Bioscience (Landmark Edition)|April 15, 2017
A review of computational approaches detecting microRNAs involved in cancerLaura Cantini, Michele Caselle, Antoine Forget, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Scientific Reports|January 25, 2019
Hope4Genes: a Hopfield-like class prediction algorithm for transcriptomic dataLaura Cantini, Michele Caselle
Nature Communications|September 5, 2024
scConfluence: single-cell diagonal integration with regularized Inverse Optimal Transport on weakly connected featuresJules Samaran, Gabriel Peyré, Laura Cantini
Frontiers in Genetics|April 8, 2021
Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference AlgorithmsYoonjee Kang, Denis Thieffry, Laura Cantini
Bioinformatics (Oxford, England)|March 9, 2024
Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuSRemi Trimbour, Ina Maria Deutschmann, Laura Cantini
Bioinformatics (Oxford, England)|February 14, 2022
Optimal transport improves cell-cell similarity inference in single-cell omics dataGeert-Jan Huizing, Gabriel Peyré, Laura Cantini
Nature Communications|April 16, 2025
scPRINT: pre-training on 50 million cells allows robust gene network predictionsJérémie Kalfon, Jules Samaran, Gabriel Peyré, et al.
Scientific Reports|December 8, 2015
Detection of gene communities in multi-networks reveals cancer driversLaura Cantini, Enzo Medico, Santo Fortunato, et al.
Nature Communications|November 24, 2023
Paired single-cell multi-omics data integration with MowgliGeert-Jan Huizing, Ina Maria Deutschmann, Gabriel Peyré, et al.
Journal of Theoretical Biology|February 8, 2014
Linear noise approximation for stochastic oscillations of intracellular calciumLaura Cantini, Claudia Cianci, Duccio Fanelli, et al.
Frontiers in Bioscience (Landmark Edition)|April 15, 2017
A review of computational approaches detecting microRNAs involved in cancerLaura Cantini, Michele Caselle, Antoine Forget, et al.
Pageof 4