At the Molecular Sciences Institute and all over, researchers apply discrete Bayesian
networks to model intracellular processes, including gene regulation and signal transduction. I will
note a few ways of binning continuous data, such as come from flow cytometry, in order to use
discrete statistical tools. I will review some information-theoretic background on two binning
strategies and present some computational comparisons.

Lecture #12322

Need help? Visit our help pages at http://www.msri.org/communications/vmath/hints

Streaming Video

This is a high quality streaming video encoded with MPEG-4 and with 640x480 resolution.

Windows and Mac users, QuickTime 6.5 or later required
Linux users, please see our Linux Help Page on how to view our streaming videos

Follow this link to --- Watch the Video Now Via Streaming Video ---

Download QuickTime File

You can download the QuickTime file here. Right click on the link and "Save As..." to save to your local computer.

• 12322-12322-QuickTime.mov (285 MB)

Create a DVD

You can download the video and audio files here. Please note that you need both files to create a DVD. Right click on the link and "Save As..." to save to your local computer. You can find instructions on how to create a DVD on our help page at http://www.msri.org/communications/vmath/author

• 12322-12322-DVD PCM Audio.aiff (613 MB - Audio Only)
• 12322-12322-MPEG-2 120min High Quality Encode.m2v (1396 MB - Video Only)

Buy the DVD

If none of the options work for you, you can always buy the DVD of this lecture.

If you would like to purchase a copy of this video for $15+shipping, please Click Here!

See more of our Streaming Videos on our main VMath - Streaming Video page.