Artwork

Content provided by Columbia Sys Bio Initiative. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Columbia Sys Bio Initiative or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Bio Bytes 16: The Power of Single Cell Data Analysis with Dana Pe'er

57:26
 
Share
 

Manage episode 311573220 series 3145074
Content provided by Columbia Sys Bio Initiative. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Columbia Sys Bio Initiative or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In which Dana speaks with Vaibhav and Jason about the principles of single cell analysis and informatics challenges associated with it. Among other things, they discuss manifolds and data topology, Bayesian approaches and considerations in prior distribution selection in biology, matrix factorization and imputing missing cell states with graphical walks through phenotypic space, and the utility of diffusion components when Principal Component Analysis is insufficient. Dana concludes with some advice for young people interested in Systems and Computational Biology.

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 311573220 series 3145074
Content provided by Columbia Sys Bio Initiative. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Columbia Sys Bio Initiative or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In which Dana speaks with Vaibhav and Jason about the principles of single cell analysis and informatics challenges associated with it. Among other things, they discuss manifolds and data topology, Bayesian approaches and considerations in prior distribution selection in biology, matrix factorization and imputing missing cell states with graphical walks through phenotypic space, and the utility of diffusion components when Principal Component Analysis is insufficient. Dana concludes with some advice for young people interested in Systems and Computational Biology.

  continue reading

37 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide