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Valection: design optimization for validation and...
Journal article

Valection: design optimization for validation and verification studies

Abstract

BackgroundPlatform-specific error profiles necessitate confirmatory studies where predictions made on data generated using one technology are additionally verified by processing the same samples on an orthogonal technology. However, verifying all predictions can be costly and redundant, and testing a subset of findings is often used to estimate the true error profile.ResultsTo determine how to create subsets of predictions for validation that maximize accuracy of global error profile inference, we developed Valection, a software program that implements multiple strategies for the selection of verification candidates. We evaluated these selection strategies on one simulated and two experimental datasets.ConclusionsValection is implemented in multiple programming languages, available at: http://labs.oicr.on.ca/boutros-lab/software/valection

Authors

Cooper CI; Yao D; Sendorek DH; Yamaguchi TN; P’ng C; Houlahan KE; Caloian C; Fraser M; SMC-DNA Challenge Participants; Ellrott K

Journal

BMC Bioinformatics, Vol. 19, No. 1,

Publisher

Springer Nature

Publication Date

September 25, 2018

DOI

10.1186/s12859-018-2391-z

ISSN

1471-2105

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