Applied Statistics for Bioinformatics

This unit of study forms part of the Master of Applied Science (Bioinformatics) degree program.

Online resources

General information:

*    Lecture times, assessment details and other information [pdf].
    *    Information for both the R computing system and the process() utility for preparing weekly reports.
   *    Guidelines on writeing your weekly report [Labreport.pdf]
   *    Online statistical reference: [ SticiGui ]
    *    Online reference to the software R:
            An Introduction to R is based on the former "Notes on R" provided by the R Development Core Team. [pdf]

Data sets for the labs:
Week 8 to 12 - [ToothGrowth.txt][bac2][bac5][pollut.txt][brngs.txt][litters.txt][poisons][bcancer.RData]
Week 1 to 7 - [BloodSugarLevels.txt][icea][iceb][tablet1.txt][apoA1K1.spotmod][crab.data][apoA.RData]
Sample Lab from Week 1 [text file] [pdf file after running process]

Others:
Solutions to Week 7 tutorial [pdf]
Sample Lab for Week 6 Question 6 [pdf]

Lectures:

Weeks	Dates	Topics	Lectures	Lab
1	Mar 3	Descriptive statistics + Introduction to R	Lect 1	[Lab 1]
2	Mar 10	Exploratory data analysis + Introduction to Sweave	Lect 2	[Lab 2]
3	Mar 17	Population models and simulation + Introduction to Microarray	Lect 3	[Lab 3]
4	Mar 24	Experimental design + correlation and regression	Lect 4	[Lab 4]
5	Mar 31	Tests of significance	Lect 5	[Lab 5]
6	April 7	Confidence intervals + Central Limit Theorem	Lect 6	[Lab 6]
	April 14	Easter Break
7	April 22	Microarray data analysis I - Non-linear smoother	Lect 7	[Lab 7]
8	April 28	Analysis of variance	Lect 8	[Lab 8]
9	May 5	Linear models and multiple regressions	Lect 9	[Lab 9]
10	May 12	Categorical data	Lect 10	[Lab 10]
11	May 19	Microarray data analysis II - DE analysis and clustering	Lect 11	[Lab 11]
12	May 26	Revision	Worksheets
13	June 2	Final Practical Exam