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Statistics for Genomic Data Analysis

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Instructor: Darlene Goldstein
Assistante: Alix Leboucq
Course: CM 1 104
Exercises: MA B1 486 (computer room)

Week	Date	Topic	TP
1	21 Sep Lec 1	Molecular biology/technology background Image analysis basics	TP 1 R intro
2	28 Sep Lec 2	Image analysis, microarrays intro (2-channel) EDA	TP 2 Array EDA
3	5 Oct Lec 3	Affy arrays, expression quantification Bayesian estimation, DE genes	GTF
4	12 Oct Lec 4	Robust regression Affy QC	TP 4 Affy quality
5	19 Oct Lec 5	Experimental design Linear modeling, DE genes	TP 5 limma for DE
6	26 Oct Lec 6	Hypothesis testing, ROC curves Multiple testing, permutation testing What is a p-value?	TP 6 Multiple testing
7	2 Nov Lec 7	Cluster analysis	TP 7 Clustering
8	9 Nov Lec 8	Annotation, gene ontology Gene set testing	TP 8 Practice exam
9	16 Nov Lec 9	Classification	TP 9 Classification
10	23 Nov Lec 10	Sequencing data basics GLM	GTF
11	30 Nov Lec 11	DE for sequence data edgeR	TP 11 edgeR
12	7 Dec Lec 12	Genetic association studies Genotyping arrays, GWAS	Exam
13	12 Dec	DEADLINE TO TURN IN PRACTICE EXAM
13	14 Dec Lec 13	Miscellaneous topics Review	(exam)
14	21 Dec	No class