Programma del corso Statistica Biomedica (6cfu) per LM Bioinformatica A.A. 14/15 (I semestre)

G Scalia Tomba

Modelli e metodi probabilistici: distribuzioni di probabilita’ discrete e continue, univariate e multivariate.Tecniche di simulazione stocastica. Metodi statistici: stima ML, metodo dei momenti, test e IC. Modelli per sequenze (di nucleotidi, proteine,...): sequenze stocastiche indipendenti e Markoviane, Hidden Markov models. Il software statistico R.

Letteratura consigliata

-Statistical Methods in Bioinformatics 2nd ed., Ewens & Grant, Springer 2005

-Statistics Using R with Biological Examples di K. Seefeld 2007 <cran.r-project.org/doc/contrib/Seefeld_StatsRBio.pdf>

- Manuale di probabilita' e statistica della Schaum Outline series

Modalita' d'esame: prova scritta sulla teoria e tesina con uso di software statistico

Obiettivi del corso

Fornire le basi teoriche e pratiche per capire e implementare, con coscienza critica, le tecniche statistiche e probabilistiche usate in Bioinformatica.

Course program: Biomedical Statistics (6cfu) for LM Bioinformatica A.A. 14/15 (1st semester)

G Scalia Tomba

Probabilistic models and methods: discrete and continuous univariate and multivariate probability distributions. Stochastic simulation techniques. Statistical methods: ML estimation, method of moments, significance testing and confidence intervals. Models for (nucleotide, protein,...) sequences: independent and Markov sequences, Hidden Markov Models. The statistical software R.

Recommended literature:

-Statistical Methods in Bioinformatics 2nd ed., Ewens & Grant, Springer 2005

-Statistics Using R with Biological Examples di K. Seefeld 2007 <cran.r-project.org/doc/contrib/Seefeld_StatsRBio.pdf>

- Probability and Statistics manuals in the Schaum Outline series

Examination: written theory test and and a short paper, using statistical software.

Course objectives

Explain the basic theoretical and practical probabilistic and statistical methods and models used in Bioinformatics. Enable the student to use such methods and critically assess their adequacy for the problems at hand.