DNA Microarray Bioinformatics Course Lecture Schedule

 

Lecture 1

 

대전: 12.26

서울: 12.28

Introduction (Draghici ch. 1)

Microarrays (Draghici ch. 2)

Image processing (Draghici ch. 3)

R/Bioconductor session I

Lecture 2

 

대전: 1.2

서울: 1.4

Elements of statistics (Draghici ch. 4)

Statistical hypothesis testing (Draghici ch. 5)

Classical approaches to data analysis (Draghici ch. 6)

R/Bioconductor session II

Lecture 3

 

대전: 1.9

서울: 1.11

Analysis of Variance - ANOVA (Draghici ch. 7)

Experiment design (Draghici ch. 8)

Multiple comparisons (Draghici ch. 9)

R/Bioconductor session III

Lecture 4

 

대전: 1.16

서울: 1.18

Analysis and visualization tools  (Draghici ch. 10)

Cluster analysis (Draghici ch. 11)

Data pre-processing and normalization (Draghici ch. 12)

R/Bioconductor session IV

JSM 2005 session I

Lecture 5

 

대전: 1.23

서울: 1.25

Methods for selecting differentially regulated genes (Draghici ch. 13)

Functional analysis and biological interpretation of microarray data (Draghici ch. 14)

R/Bioconductor session V

JSM 2005 session II

Lecture S

Spare Time Slot

대전: 1.29

서울: 1.31

 

 

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Last update: 11/15/2006