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: