Applied Statistics for Bioinformatics

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

Online resources

STAT5001: Applied Statistics for Bioinformatics (Semester 1, 2012)

Lecturers
Dr. Vivek Jayaswal, Carslaw 637
Dr.Jean Yang, Carslaw 824

Weblinks

Datasets for weekly labs

Weeks 1 to 7 [BloodSugarLevels.txt] [icea] [iceb] [tablet1.txt] [apoA1K1.spotmod] [crab.data] [apoA.RData] [cig.txt]
Week 8 to 12 [ToothGrowth.txt] [bac2] [bac5] [pollut.txt] [brngs.txt] [litters.txt] [poisons] [bcancer.RData]
Exam dataset:

Lectures

Week Date Topic Lecture Note Lab Assignment Lab Solution (pdf file) Lab Solution (txt file)
1 Mar 6 Descriptive statistics + Introduction to R Lect 1 Lab 1 pdf file source file
2 Mar 13 Exploratory data analysis + Introduction to Sweave Lect 2 Lab 2 pdf file source file
3 Mar 20 Population models and simulation + Introduction to Microarray Lect 3 Lab 3 pdf file source file
4 Mar 27 Experimental design + correlation and regression Lect 4 Lab 4 pdf file source file
5 April 3 Tests of significance Lect 5 Lab 5 pdf file source file
April 10 Non-teaching week
6 April 17 Confidence intervals + Central Limit Theorem Lect 6 Lab 6 pdf file source file
7 April 24 Microarray data analysis I - Non-linear smoother Lect 7 Lab 7 pdf file source file
8 May 1 Analysis of variance Lect 8 Lab 8 pdf file source file
9 May 8 Linear models and multiple regressions Lect 9 Lab 9 pdf file source file
10 May 15 Microarray data analysis II - DE analysis and clustering Lect 10 Lab 10 pdf file source file
11 May 22 Categorical data Lect 11 Lab 11 pdf file source file
12 May 29 Revision
13 June 5 Final Exam

For questions or comments please contact webmaster@maths.usyd.edu.au