Ali Shojaie

  • Home
  • Research
  • Teaching
  • Software
  • People

    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