Timeline

Laura Cantini

Head of Structure

24 Mar 2024

event

Pr[AI]rie Scientific Workshop

09 Mar 2024

publication

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

04 Mar 2024

event

Symposium ATC-IA – Artificial Intelligence in Biology and Health – Edition 2024

01 Mar 2024

event

Dpt of Computational Biology & SPAIS joint seminar – ATC-AI : Inferring and Characterizing Cellular and Neural Dynamics with Geometric and Topological Deep Learning

26 Feb 2024

project

MULTI-viewCELL

24 Nov 2023

publication

Paired single-cell multi-omics data integration with Mowgli.

24 May 2023

event

Symposium – Artificial Intelligence in Biology and Health

25 Apr 2023

program_project

Artificial Intelligence at the Institut Pasteur

07 Feb 2023

project

ANR JCJC scMOmix

24 Jan 2023

team

Machine Learning for integrative genomics

14 Feb 2022

publication

Optimal Transport improves cell-cell similarity inference in single-cell omics data.

05 Jan 2021

publication

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

01 Jan 2021

publication

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

17 Dec 2020

publication

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.

01 Feb 2020

publication

Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network.

03 Jan 2020

publication

Interpreting pathways to discover cancer driver genes with Moonlight.

01 Nov 2019

publication

Assessing reproducibility of matrix factorization methods in independent transcriptomes.

01 Nov 2019

publication

Investigating the epi-miRNome: identification of epi-miRNAs using transfection experiments.

07 Sep 2019

publication

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets.

26 Jun 2019

publication

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

18 Mar 2019

publication

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

23 Jan 2019

publication

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

01 Jan 2018

publication

Classification of gene signatures for their information value and functional redundancy.

11 Sep 2017

publication

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

01 Jun 2017

publication

A little guide for advanced search:

Timeline

Pr[AI]rie Scientific Workshop

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

Symposium ATC-IA – Artificial Intelligence in Biology and Health – Edition 2024

Dpt of Computational Biology & SPAIS joint seminar – ATC-AI : Inferring and Characterizing Cellular and Neural Dynamics with Geometric and Topological Deep Learning

MULTI-viewCELL

Paired single-cell multi-omics data integration with Mowgli.

Symposium – Artificial Intelligence in Biology and Health

Artificial Intelligence at the Institut Pasteur

ANR JCJC scMOmix

Machine Learning for integrative genomics

Optimal Transport improves cell-cell similarity inference in single-cell omics data.

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

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

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.

Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network.

Interpreting pathways to discover cancer driver genes with Moonlight.

Assessing reproducibility of matrix factorization methods in independent transcriptomes.

Investigating the epi-miRNome: identification of epi-miRNAs using transfection experiments.

Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets.

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

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

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

Classification of gene signatures for their information value and functional redundancy.

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

A review of computational approaches detecting microRNAs involved in cancer.