Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137542
Title: Turning straw into gold : building robustness into gene signature inference
Authors: Goh, Wilson Wen Bin
Wong, Limsoon
Keywords: Science::Biological sciences
Issue Date: 2018
Source: Goh, W. W. B., & Wong, L. (2019). Turning straw into gold : building robustness into gene signature inference. Drug Discovery Today, 24(1), 31-36. doi:10.1016/j.drudis.2018.08.002
Journal: Drug Discovery Today
Abstract: Reproducible and generalizable gene signatures are essential for clinical deployment, but are hard to come by. The primary issue is insufficient mitigation of confounders: ensuring that hypotheses are appropriate, test statistics and null distributions are appropriate, and so on. To further improve robustness, additional good analytical practices (GAPs) are needed, namely: leveraging existing data and knowledge; careful and systematic evaluation of gene sets, even if they overlap with known sources of confounding; and rigorous testing of inferred signatures against as many published data sets as possible. Here, using a re-examination of a breast cancer data set and 48 published signatures, we illustrate the value of adopting these GAPs.
URI: https://hdl.handle.net/10356/137542
ISSN: 1359-6446
DOI: 10.1016/j.drudis.2018.08.002
Rights: © 2018 Elsevier Ltd. All rights reserved. This paper was published in Drug Discovery Today and is made available with permission of Elsevier Ltd.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

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