May 17, 2017
Class & Project Grades Available on OwlSpace & Esther
NASA’s Julie Robinson, Chief Scientist of the International Space Station, kindly shared slides of her talk to the class in April (Precision Medicine & Human Space Flight)
Have a great summer!
May 11, 2017
Final Exam Grades Available on OwlSpace
(final course grades for graduate students posted by May 17th / congrats to Ethan & Yongin for graduating)
April 26, 2017
Final Exam Review 2017
Final Exam Available, Wednesday, April 26 (OwlSpace)
Final Exam due Wednesday, May 3 (Upload on OwlSpace by 11:59 pm)
April 18, 2017
Three Cell Images Link
Links: Interactive Genetic Algorithm Website: Building a Car /
GA Tutorial (Stat & Comp) / GA Simplified
Reminder: Final Project Presentations & Reports are due Thursday, April 20
Class final tutorial on Tuesday, April 25 at 1 pm
Taste of Biology, April 27, 7 pm
April 13, 2017
Image Analysis Slides
Data Workshop on Clustering tomorrow at 1 pm, BRC 286
April 11, 2017
Image Analysis Tutorial II
(no slides – hands-on work in class)
April 6, 2017
Image Analysis Tutorial I
April 4, 2017
Guest Seminar: Dr. Julie Robinson, Chief Scientist International Space Station
Link: NASA GeneLab Data Repository
March 30, 2017
Mid-term Project Reports due at Midnight
(Feedback from Tuesday’s class presentations is in Dropbox)
March 28, 2017
Mid-term Project Presentations
(15-20 min each; guidelines in OwlSpace / provide slides in Dropbox by end of class)
March 23, 2017
Link: Cytoscape.org
March 21, 2017
Reminder: Project Presentations are March 28 / Report due March 30
Link: Bayesian Network Primer (Peer, Science 2005)
March 9, 2017
Link: Practice Exam / Answers
Example Final Project Reports & Modeling in Dropbox
February 28, 2017
Link: Decision Trees – ID3 Algorithm Example (slide credits include: Sin-Min Lee, Michael Crawford)
Links: Classification Trees, Matlab Links
CART Algorithm (in Matlab): fitctree / Examples / Impurity & Node Error Calculations
Modeling Challenge IV (due 3/2) – Experience Table: Superheros
February 23, 2017
Links: Cancer Outcome Prediction Baseline Models (link to code & performance)
SubChallenge I: linear regression, random forest, decision tree with adaptive boosting and support vector machines
SubChallenge II & III: cox regression model
Details on Model Submissions & Scoring
February 16, 2017
Links: Tutorial on Matlab
February 7, 2017
Videos Relevant to the Team Project:
February 2, 2017
Links: Interactive PCA Website
Definitions for Principle Component Analysis (PCA): Eigenvectors
Reference: Eigenvector Primer/Practice (Credit: Shaina Race, NCState)
January 31, 2017
Links: Machine Learning Repository
Modeling Challenge III (due 2/2)
January 26, 2017
Team Assignments
Links: Team Project Description; AML Challenge Site
AML Challenge Data Visualization; AML Challenge Data Description
January 24, 2017
Links: Cluster 3.0 Open Source Software
January 19, 2017
Links: Q & A on K-means Clustering
Modeling Challenge II (due 1/24)
Video demos to explore Julie’s group selection:
Qutub Lab 