Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Columbia University Bio Bytes

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

05 Jun 2020

Description

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.

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.