Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

Predicting positive p53 cancer rescue regions using Most Informative Positive (MIP) active learning.

Many protein engineering problems involve finding mutations that produce proteins with a particular function. Computational active learning is an attractive approach to discover desired biological activities. Traditional active learning techniques have been optimized to iteratively improve classifie...

Full description

Bibliographic Details
Main Authors: Samuel A Danziger, Roberta Baronio, Lydia Ho, Linda Hall, Kirsty Salmon, G Wesley Hatfield, Peter Kaiser, Richard H Lathrop
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-09-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC2742196?pdf=render

Internet

http://europepmc.org/articles/PMC2742196?pdf=render

Similar Items