Statistical Methods for High Dimensional Biology

Next deadline: form groups and finish initial project proposals -Jan 24th, 2018


STAT 540 is a 3 credit course with a mandatory computing seminar.

Cross-listed as STAT 540, BIOF 540, GSAT 540

Time and Location

03 January 2018 - 04 April 2018

Lecture (Sec 201)

Time: Mon Wed 9:30 - 11am

Location: ESB 2012

Seminar / computing lab (S2A) – REGISTRATION IS REQUIRED!

Time: every Wednesday 11am - 1pm. The TAs will remain in the lab until 1pm for general office hours.

Location: Orchard Commons 4076

Learning objectives:

  • explore and visualize genomics data
  • apply tailored statitical methods for high dimensional biology data
  • make your work reproducible, reusable, and shareable
  • work with real data in a collaborative model

Selected topics

  • Exploration, visualization, and quality assessment of high dimensional genomics data
  • Large scale statistical inference
  • Analysis of microarray, RNASeq, and epigenetics data
  • Principal component analysis (PCA)
  • Cluster analysis
  • Cross validation
  • Model selection for classification and linear regression models
  • Gene function and gene set analysis
  • Resampling and the bootstrap

More info?

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