Programme
| Heures |
événement |
(+)
|
|
09:30 - 10:45
|
sc-RNAseq : Statistics, Bioinformatics and Biology |
(+)
|
| 09:30 - 10:45 |
› CellID: A Brief story about single cell data analysis and methods development; its joy and its frustration from the perspective of a 3rd year PhD Student - Akira Cortal, Imagine Institute of Genetic Disease |
|
|
10:45 - 11:00
|
Pause café |
|
|
11:00 - 12:00
|
sc-RNAseq : Statistics, Bioinformatics and Biology |
(+)
|
| 11:00 - 11:30 |
› Projets Single Cell et Applications - Frédéric Martins, PF Get-Santé |
|
| 11:30 - 12:00 |
› scRNAseq analysis: practical case & interpretation through a Shiny Application - Fanny Mollandin, Dpt GMM INSA Toulouse |
|
|
12:00 - 13:30
|
Déjeuner |
|
|
13:30 - 14:45
|
sc-RNAseq : Statistics, Bioinformatics and Biology |
(+)
|
| 13:30 - 14:45 |
› Probabilistic Count Matrix Factorization for Single Cell Expression Data Analysis - Ghislain Durif, CNRS / IMAG / Université de Montpellier |
|
|
14:45 - 15:00
|
Pause café |
|
|
15:00 - 16:00
|
sc-RNAseq : Statistics, Bioinformatics and Biology |
(+)
|
| 15:00 - 15:30 |
› New tools for integrated transcriptome, proteome and functional analysis of scRNASeq - Jean-Jacques Fournié, CRCT |
|
| 15:30 - 16:00 |
› Quoi de neuf pour l'analyse des données scRNAseq ? - Cathy Maugis-Rabusseau, IMT |
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