Author: Vincent Guillemot

Cours autour des méthodes “PLS” par Hervé Abdi

Le but des méthodes multivariées à composantes est de fournir une représentation en petites dimensions d’un jeu de données complexe à plusieurs variables. Pour comprendre cette famille de méthodes dans le cas de l’analyse d’un seul bloc de données, il est essentiel de se familiariser avec l’analyse en composantes principales, adaptée aux données continues, et l’analyse de correspondances (multiples), adaptée aux données catégorielles. La famille des méthodes des moindres carrés partiels, quant à elle, couvre un large éventail d’outils statistiques multivariés visant à analyser deux blocs de données.

Les deux ateliers que nous proposons comprendrons une description théorique de ces méthodes, avec des exemples en psychométrie, en imagerie et en génétique et serons complétés par une session pratique sur des données réelles sous R.

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Bioinformatics program for PhD students 2019-2020 : Preparing the next generation of scientists

A TARGETED CURRICULUM DEVELOPED BY THE COMPUTATIONAL BIOLOGY DEPARTMENT


In accordance with a request in 2016 from the former General Board of Directors, the Computational Biology Department has developed this training program dedicated to Institut Pasteur PhD students. Each and every student at the institute must attend at least 50 hours of training. At the minimum, he or she is required to validate the statistical modules (which, depending on their background, some students may skip), and possibly choose additional modules according to his or her background and field of research.  

A CORE FOUNDATION AND THE OPTION TO SPECIALIZE

This 50-hour training program required for all Institut Pasteur PhD students begins with a group of common core courses including a knowledge base in reproducible research, R Programming and Statistics. Each student then chooses a track of additional modules— Bioinformatics or Image Analysis—according to their background and field of research. Students already proficient in R programming and statistics can skip certain modules or the entire track.  

INSTITUTIONAL RECOGNITION

This PhD program has been acknowledged by the doctoral schools at the Sorbonne Bio, CDV, Ecole doctorale interdisciplinaire européenne Frontières du Vivant, and ED-SDSV.
Check out the course’s flyer for more information and and visit the Pasteur course web page!
   

COURSE PROGRAM

Mandatory Common Core

This 6h course is mandatory for all PhD students. They will learn how to get help and assistance from the Department of Computational Biology and from the Hubs for questions in programming, experimental design, data analysis and image analysis. They will attend three short lectures in programming and reproducible resaerch. Finally, they will have the opportunity to assess their level in R programming and statistics and to register to the modules of their choice in the R programming and statistics, Bioinformatics and Image analysis tracks.

 
Program of the mandatory common core module
   

Other modules

The figure below shows all the available modules. To attend these lectures you need to bring your own laptop. No special configuration is required. Just avoid to come with your grandma’s machine.
To attend these lectures you need to bring your own laptop. No special configuration is required. Just avoid to come with your grandma’s machine.

 
Description of the Bioinformatics program
 

A detailed description of all modules can be found here. To attend these lectures you need to bring your own laptop. No special configuration is required. Just avoid to come with your grandma’s machine.
   

SUPPORT

This PhD program is supported by the INCEPTION project.