Short Courses and Tutorials
- Slides for statistical machine learning short course in Sixth Seattle Symposium in Biostatistics.
- Material for modules from the Summer Institute in Statistics for Big Data (SISBID), including slides, codes and videos are available at the SISBID GitHub repository.
- Material for 2020 ENAR Short Course on Statistical Network Analysis in Biology, including the slides and a zip file containing codes and data for demos. Additional material for NetGSA demo can be found on the netgsa-github page under vignettes.
- Slides for 2019 JSM Roundtable on Omics Data Integration.
- Slides for 2017 short course on Introduction to Statistical Learning at the International Society for Business and Industrial Statistics:
slides.
- Material for 2016 JSM-CE course on Statistical Methods for Unsupervised Learning:
slides and R-codes for
dimension reduction and clustering.
- Material for SISG Module on Pathway and Network Analysis of Omics Data. Please make sure to install the packages if you would like to follow along.
- The slides for my lectures.
- A zip file containing code and data for demos during the module.
- A zip file containing slides for the first part of the course by Alison Motsinger-Reif, as well as the R Makdown file for XGR demo.
-
Pre-recorded video (Introduction) to watch before the module. (The video is password protected. Participants will receive the password separately.)
-
Pre-recorded video (Introduction to Networks) to watch before the second half of the module. (The video is password protected. Participants will receive the password separately.)
- Two review papers on differential network analysis, from biological and statistical perspectives.
-
Here are the links to (password protected) video recordings for the live sessions from part I
(video 1,
video 2,
video 3), and part II
(day 2, and
day 3).
-
Finally, here are some additional recordings for topics that were not covered during the module: a look at
methods for single cell RNAseq data and a demo on using
WGCNA.
Regular/Full Courses
- Autumn 2020, 2021, 2023: BIOSTAT 544 -- Introduction to Biomedical Data Science
- Spring 2018: STAT/BIOSTAT 527 --
Nonparametric Regression and Classification (authentication required)
Dept. of Biostatistics, University of Washington
- Spring 2017, 2019: BIOSTAT 546 --
Machine Learning for Biomedical Big Data (authentication required)
Dept. of Biostatistics, University of Washington
- Summer 2013: BIOSTAT 563 -- Computing and Research (authentication required)
Dept. of Biostatistics, University of Washington
- Winter 2013: BIOSTAT 578b -- Computing Extras for BIOST 518 (authentication required)
Dept. of Biostatistics, University of Washington
- Autumn 2012: BIOSTAT 578c -- Computing Extras for BIOST 517 (authentication required)
Dept. of Biostatistics, University of Washington
- Winter 2012: BIOSTAT 578b -- Computing Extras for BIOST 518 (authentication required)
Dept. of Biostatistics, University of Washington
- Fall 2011: BIOSTAT 578c -- Computing Extras for BIOST 517 (authentication required)
Dept. of Biostatistics, University of Washington
- Summer 2009: Introduction to Probability and Statistics for Business
(STT 315),
Dept. of Statistics and Probability, Michigan State University
- Summer 2008: Statistical Methods
(STT 200),
Dept. of Statistics and Probability, Michigan State University
- Spring 2007: Introduction to Statistical Reasoning (STAT 100),
Dept. of Statistics, University of Michigan
- Summer 2005: Discrete Mathematics (CSE 260),
Dept. of Computer Science and Engineering, Michigan State University
- Summer 2003: Discrete Mathematics (CSE 260),
Dept. of Computer Science and Engineering, Michigan State University