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Prochains webinars

Description :

QuanTIM webinar’s PhD student award recognizes outstanding achievements in the field of quantitative or qualitative methodological research in public health. This award has been created in order to promote and encourage young scientists at the very beginning of their career.

The award winner will receive 1 500 € to finance registration and/or travel to a scientific conference or to carry out a research stay in one of the SESSTIM’s teams. In addition, the award winner will be granted the last pannelist's spot of this season's QuanTIM Webinars during which she/he will present the winning work. Like any QuanTIM Webinars, the talk will be recorded and published on our social networks, website and Youtube channel.

The PhD student award is open to students who have yet to finish their PhD but whose researches are advanced enough to be presented. Graduated students can also apply as long as they have graduated for less than 12 months.

The application deadline is set on March 31st, 2024.

More information: https://sesstim.univ-amu.fr/fr/webinars/phd-student-award

To participate: https://quantimstudentaward.sciencescall.org 


Date de l'évènement :
Dimanche 31 mars 2024, de 00:00 à 00:00 , (Paris, Europe)

Organisé par :
Professeur Roch GIORGI - Equipe QuanTIM-SESSTIM


Intervenant :
Sandrine DUDOIT
Associate Dean for Faculty and Research, College of Computing, Data Science, and Society Professor, Department of Statistics and Division of Biostatistics/School of Public Health University of California, Berkeley
Description :

The ability to measure gene expression levels for individual cells (vs. pools of cells) is crucial to address many important biological questions, such as the study of stem cell differentiation, the detection of rare mutations in cancer, or the discovery of cellular subtypes in the brain. Single-cell transcriptome sequencing (RNA-Seq) allows the high-throughput measurement of gene expression levels for entire genomes at the resolution of single cells. RNA-Seq studies provide a great example of the range of questions one encounters in a Data Science workflow, where the data are complex in a variety of ways, there are multiple analysis steps, and drawing on rigorous statistical principles and methods is essential to derive reliable and interpretable biological results. In this talk, I will provide a survey of statistical questions related to the analysis of single-cell RNA-Seq data to investigate the differentiation of stem cells in the brain, including, exploratory data analysis, dimensionality reduction, normalization, expression quantitation, cluster analysis, and the inference of cellular lineages.

Keywords: Transcriptomics, single-cell, lineage inference, differential expression, stem cell

About the speaker: https://www.stat.berkeley.edu/~sandrine


Date de l'évènement :
Vendredi 19 avril 2024, de 17:30 à 18:30 , (Paris, Europe)

Professeur Roch GIORGI - Equipe QuanTIM-SESSTIM


Intervenant :
Philippe TESSIER
Nantes Université, Univ Tours, INSERM, MethodS in Patients-centered outcomes and HEalth Research, SPHERE, F-44000 Nantes, France
Description :

Plus d'informations sur l'intervenant : https://sphere-inserm.fr/fr/membre/philippe-tessier


Date de l'évènement :
Vendredi 17 mai 2024, de 11:00 à 12:00 , (Paris, Europe)

Professeur Roch GIORGI - Equipe QuanTIM-SESSTIM



Date de l'évènement :
Vendredi 21 juin 2024, de 11:00 à 12:00 , (Paris, Europe)