BFB11

Biostatistical Foundations in Bioinformatics

Course 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

GTPB Homepage

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Last updated:   July 21st 2011