A short course on
Computational and Statistical
Aspects of Microarray Analysis
University of Milan
May 26-30, 2003
Lecturers:
Anestis Antoniadis
Robert Gentleman
Lecture notes
Lab materials
Lab1 | Bioconductor Basics | |||
Lab2a | Bioinformatics (anotation package) | |||
Lab2b | An Introduction to Some Graphics in Bioconductor | |||
Lab3a | Introduction to Bioconductor's marray Packages | |||
Lab3b | Introduction to the affy package | |||
Lab4 | Differential Gene Expression | |||
Lab5 | Cluster Analysis Using R and Bioconductor | |||
Lab6 | Classification Using R and Bioconductor | |||
Lab7 | Analyzing Microarray Data: From Images to List of Candidate Genes | |||
Lab8 | Application of Machine Learning to Microarray Data, SVM and friends | |||
Lab9 | Lab 9: An Introduction to Wavelets | |||
Lab10 | EFDR: Some Statistical Methods for the Identification of Differentially Expressed Genes | |||
Lab11 | Lab 11: Penalized Logistic Regression | |||
Lab12 | Lab 12: Dimension reduction in R |