Statistics and Quantitative Biology Course

Gulbenkian Ph.D. Programme in Interdisciplinary Biology, Champalimaud PhD Programme in Behavioral Neurosciences
Instituto Gulbenkian de Ciencia, Oeiras, Portugal
September 28-October 9, 2009

Lecturers

Jorge Carneiro Bio
Instituto Gulbenkian de Ciencia, Oeiras, Portugal

Nuno Sepúlveda Bio
Instituto Gulbenkian de Ciencia, Oeiras, Portugal

Programme

Monday, September 28

10h00-10h45 Overview

11h00-13h00 Stochastic processes, probability, and the central limit theorem
. . . . . . . . . . . (download pdf)

14h30-17h00 First steps in R
. . . . . . . . . . . (download pdf , data sets)

Tuesday, September 29

10h00-12h00 R practice

14h30-15h30 Data exploration and representation: Informal data analysis

16h00-17h00 Describing data: Proportion, location, and spread

. . . . . . . . . . . (download pdf)

17h00-18h00 R practice

Wednesday, September 30

10h00-12h00 Uncertainty and uncertainty propagation
. . . . . . . . . . . (download pdf)

14h00-17h00 R practice
. . . . . . . . . . . (download pdf)

Thursday, October 1

10h00-12h00 Hypothesis testing
. . . . . . . . . . . (download pdf)

14h00-17h00 R practice and Hypothesis testing assignments

Friday, October 2

10h00-17h00 Hypothesis testing assignments

Monday, October 5

10h00-12h00 Hypothesis testing assignment reports and discussion

14h00-17h00 R practice

Tuesday, October 6

10h00-12h00 Comparing multiple groups and the power of a test
. . . . . . . . . . . (download pdf)

14h00-17h00 R practice
. . . . . . . . . . . (download pdf)

Wednesday, October 7

10h00-12h00 Explaining variables with other variables: Regression and general linear models
. . . . . . . . . . . (download pdf)

14h00-17h00 R practice

Thursday, October 8

10h00-12h00 Multivariate analysis, PCA, and multidimensional scaling
. . . . . . . . . . . (download pdf)

14h00-17h00 R practice
. . . . . . . . . . . (download pdf, dataset)

Friday, October 9

10h00-12h00 Bring your own problems...

14h00-17h00 R practice

Bibliography

Locations

Theoretical classes will be held at the Democritus auditorium above the cantine.

Practical classes will be held at the so-called PDBC computer room under the library.

Software

The practicals of the course will be based on the R software. R is a powerfull free open-source software for statistical computing and graphics. It runs in any platform (Linux, MacOSX, or Windows).

R is available at http://www.r-project.org/

We encourage students to bring and use their own laptops during the practical classes, but desktop computers will be available in the practice classroom for everyone if necessary.

Please make sure that R software is properly installed in your laptop before the practical classes.