Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi

Characterizing the effects of missing data and evaluating imputation methods for chemical prioritization applications using ToxPi

Abstract Background The Toxicological Priority Index (ToxPi) is a method for prioritization and profiling of chemicals that integrates data from diverse sources. However, individual data sources (“assays”), such as in vitro bioassays or in vivo study endpoints, often feature sections of missing data...

Full description

Bibliographic Details
Main Authors: Kimberly T. To, Rebecca C. Fry, David M. Reif
Format: Article
Language:English
Published: BMC 2018-06-01
Series:BioData Mining
Subjects:
Chemical prioritization
ToxPi
ToxCast
Missing data
Imputation
Multiple imputation
Online Access:http://link.springer.com/article/10.1186/s13040-018-0169-5

Internet

http://link.springer.com/article/10.1186/s13040-018-0169-5

Similar Items