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Date : 16/01/2017 – 17/02/2017 Location : Amphithéâtre Jaques Monod – MONOD (66) ,Institut Pasteur, Paris
Description
Course description :
This five weeks graduate level course will give participants basic skills and hands-on training in biostatistics. It will cover all the steps of an analysis workflow : design, collection, curation, hypothesis testing and data mining. The course can be divided into four different topics whose practice is mandatory for those seeking to implement a relevant analysis workflow. Thus, it will cover basics and practice in unix, text file management, R and biostatistics. We will focus on the topics useful for scientists working in a wet lab: experimental design, hypothesis testing, production of good scientific plots.
Course schedule :
The course will take place from January 16th to February 17th 2017, with two-hour lectures every day.
Two sessions are provided:

- session 1 from 9 AM to 11 AM
- session 2 from 11 AM to 1 PM.
Requirements
In order to follow the course all students need to bring their own laptop. Please check that your computer meets the minimum requirements listed below.
PC – Windows Based : Intel i3 / Windows 7/ 4Go RAM / 256 Go HD, Apple Macintosh : mid-2010 mac book /OSX 10.10/ 4Go RAM/ 256 Go HD
Teachers will be available on Thursday January 12th from 9 to 12 in the Hub meeting room (26-06-06 A) to help you if you have doubts about the configuration of your machine or if you need help to install the necessary software.
- On PC – windows based you will need to install putty: http://www.putty.org/
- You all need to install R version 3.3.2 : https://cran.univ-paris1.fr/ and RStudio : https://www.rstudio.com/products/rstudio/ (RStudio desktop, free version)
Documents
-> Programme
-> Course documents
Day 2
Day 3
Day 4
Day 5
Day 5 – end
Files: BransfordJohnsonExperiment_solution.pdf
Files: Examples.R Internal.R lungA.csv Exercices.R
Files: TP lungA.csv lungB.csv lungC.csv
Files: dat_pca_clus_counts.rda MultivariateAnalysis.Rmd
Files: IntroRmarkdown.pdf toStart.Rmd project.Rmd famuss.bib
- Session 1 – Unix (Week 1)
- Session 2 – Unix2 (Week 2)
- Session 3 – R
- Session 4 – Statistics
- Session 5 – Experimental Design
- Session 6 – Estimation & Tests
- Session 7 – Regression Lineaire
- Session 8 – PCA
- Session 9 – Clustering
- Session 10 – Final Project
Programme

Introduction

Session 1: Unix

Session 2: Unix2
Day 1





Session 3 : R

Session 4 : Statistics

Session 5 : Experimental Design

Session 6 : Estimation & Tests

Session 7 : Regression Lineaire

Session 8 : PCA

Session 9 : Clustering

Session 10 : Final Project
