A hands on course on Statistics for heterogeneous biological data (sequences, images, clinical data, single cell measurements, ..) using R and many Bioconductor packages.

Course Schedule

Live lectures are at 11:30am PST to 12:50pm on Mondays and Wednesdays in Room STLC 115 in the SAPP learning center (old chemistry building).

Lecture readings need to be done before the lecture time.

Weekly Labs will be done either on your own or during Lab sessions run by the TAs.

Date Topic
Monday 20 Sept Introduction (covering: book chapter introduction; lecture 1)
Wednesday 22 Sept Simulations (covering: book chapter 1 & 2; lectures 1 & 2)
Monday 27 Sept Graphics (covering: book chapter 3; online lecture 3)
Wednesay 29 Sept Mixture Models and Variance Stabilization (covering: book chapter 4; lecture 4)
Monday Oct 4 Clustering (covering: book chapter 5; lecture 5)
Wed Oct 6 Testing and RNA-Seq (covering: book chapters 6 & 8; lectures 6 - 8)
Monday Oct 11 Multivariate Analysis (covering: book chapter 7; lectures 9 & 10)

The book

The book for the course is available on Amazon and Cambridge University Press

It is also available for free online at both Stanford and EMBL.

The data are all available together as a large compressed tar file