Lecture 1
´ëÀü: 12.26
¼¿ï: 12.28
Introduction (Draghici ch. 1)
Microarrays (Draghici ch. 2)
Image processing (Draghici ch. 3)
R/Bioconductor session I
Lecture 2
´ëÀü: 1.2
¼¿ï: 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
´ëÀü: 1.9
¼¿ï: 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
´ëÀü: 1.16
¼¿ï: 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
´ëÀü: 1.23
¼¿ï: 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
´ëÀü: 1.29
¼¿ï: 1.31
Bioinformatics Information ¡èUp
Last update: 11/15/2006