[bioundgrd] Don't Miss Out - Learn to use Matlab's Biostatistical Toolboxes - SATURDAY 4/27

[Joyce Roberge]

THIS SATURDAY 4/27 2-5 PM: Mathworks/BUSA MATLAB Biostatistics Workshop!

Lunch Sandwiches will be provided. Open to all Undergrads and Grad students!

What: BUSA is collaborating with MathWorks to put on a unique MATLAB/Biostatistics workshop! This is a great opportunity to learn how to use MATLAB's Statistics Toolbox and Bioinformatics Toolbox to analyze data. Topics include:
·         Data access and manipulation
·         Interactive tools for data visualization
·         Creating scripts and functions to automate tasks
·         One-click report generation to share your results
The event will culminate in a µHackathon challenge, with prizes from Mathworks!

More details on event content further below.

When: Saturday, April 27th. 2 PM - 5 PM

Where: 32-124 (Stata building, http://whereis.mit.edu/?go=32, first floor, room 124)

**RSVP HERE**:
https://docs.google.com/forms/d/1wwYd_xs3FuAUSvHNKe4PkMJLNt8ylmgNWlETIKCE6xU/viewform

Please, only RSVP if you can commit to attending.

Note: Participants will need to bring their own laptops with Matlab 8.1 and the Statistics, Bioinformatics, and Curve-Fitting Toolboxes installed (Free for MIT students via MIT license). The toolboxes can be selected as add-ons during installation.
Tutorial for MIT Students: http://kb.mit.edu/confluence/pages/viewpage.action?pageId=7144438

More Details:

MATLAB for Biologists: Introduction to Data Analysis and Visualization

MATLAB provides a flexible data analysis and visualization environment for a wide range of applications, including statistics, image processing, bioinformatics and systems biology.  In this hands-on workshop, we will provide an introduction to the MATLAB platform for data analysis and visualization.

Topics include:
·         Data access and manipulation
·         Interactive tools for data visualization
·         Creating scripts and functions to automate tasks
·         One-click report generation to share your results

µHackathon:
The workshop will conclude with a short µHackathon challenge. The challenge will involve comparing the gene expression profiles from different cancer types using a few different statistical techniques. The objective of the challenge will be to identify the subset of the genes that are differentially expressed across the tumor types. The challenge will explore concepts of data filtering, visualization, hypothesis tests and false discovery rates.

Fun and geeky MATLAB goodies for the first 3 attendees that successfully complete the challenge!


MathWorks' site: http://www.mathworks.com/
BUSA's site: http://web.mit.edu/busa/

Hope to see you there!









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