BFB11
Biostatistical Foundations in BioinformaticsCourse Timetable (provisional) |
BFB11 | Biostatistical Foundations in Bioinformatics |
Mon, Oct 24th |
Day #1
|
09:30 - 11:00 |
Descriptive Statistics Describing and summarizing data. Summary statistics and plots for univariate, bivariate and multivariate data. |
11:00 - 11:30 | Coffee Break |
11:30 - 12:30 | Basic exploratory data analysis with R. |
12:30 - 14:00 | Lunch Break |
14:00 - 16:00 | Review of probability theory Probability, Random variables and their properties. Distributions. Independence and conditional probability. |
16:00 - 16:30 | Tea Break |
16:30 - 18:00 | Distributions in R: probabilities, densities, simulation. |
Tue, Oct 25th |
Day #2
|
09:30 - 11:00 |
Basics of statistical inference Sampling, Methods of estimation: maximum likelihood. The Expectation and Maximization (EM) Algorithm |
11:00 - 11:30 | Coffee Break |
11:30 - 12:30 |
More on statistical inference Confidence intervals. |
12:30 - 14:00 | Lunch Break |
14:00 - 16:00 | Hypothesis testing. |
16:00 - 16:30 | Tea Break |
16:30 - 18:00 | More on confidence intervals and tests. |
Wed, Oct 26th |
Day #3
|
09:30 - 11:00 |
Microarray data analysis Low level analysis: Background correction, normalization and summarization. High level Analysis: statistical tests for selecting differentially expressed genes. |
11:00 - 11:30 | Coffee Break |
11:30 - 12:30 | The Bioconductor project. |
12:30 - 14:00 | Lunch Break |
14:00 - 16:00 |
Multiple testing issues |
16:00 - 16:30 | Tea Break |
16:30 - 18:00 |
More on multiple testing issues |
Thu, Oct 27th |
Day #4
|
09:30 - 11:00 |
Bayesian inference. Bayes' Theorem. Principles of Bayesian Methodolgy. |
11:00 - 11:30 | Coffee Break |
11:30 - 12:30 | Applications in Population Genetics and Phylogeny. |
12:30 - 14:00 | Lunch Break |
14:00 - 16:00 |
Stochastic processes Stochastic processes in Biology: Poisson processes; Markov chains; hidden Markov models. |
16:00 - 16:30 | Tea Break |
16:30 - 18:00 |
Some probability models useful in Bioinformatics: Topology prediction of Transmembrane Proteins (with or without reentrant loops). |
Fri, Oct 28th |
Day #5
|
09:30 - 11:00 |
Bootstrap methods Tests and confidence intervals. |
11:00 - 11:30 | Coffee Break |
11:30 - 12:30 |
Multivariate statistical methods Principal component analysis. |
12:30 - 14:00 | Lunch Break |
14:00 - 16:00 |
Supervised and unsupervised classification |
16:00 - 16:30 | Tea Break |
16:30 - 18:00 |
Practical exercises. Final wrap-up session. |
Course Homepage |
Instituto Gulbenkian de Ciência, Apartado 14, 2781-901 Oeiras, Portugal Last updated: July 21st 2011 |