Optimism Bias Correction in Omics Studies with Big Data: Assessment of Penalized Methods on Simulated Data-Reference-Cited by-同舟云学术

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Optimism Bias Correction in Omics Studies with Big Data: Assessment of Penalized Methods on Simulated Data

Published:2019-04 Issue:4 Volume:23 Page:207-213
ISSN:1557-8100
Container-title:OMICS: A Journal of Integrative Biology
language:en
Short-container-title:OMICS: A Journal of Integrative Biology

Author:

Zhao Yubing¹²³⁴,Dantony Emmanuelle¹²³⁴,Roy Pascal¹²³⁴

Affiliation:

1. Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.

2. Université de Lyon, Lyon, France.

3. Université Claude Bernard (Lyon 1), Villeurbanne, France.

4. CNRS UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique Santé, Villeurbanne, France.

Publisher

Mary Ann Liebert Inc

Subject

Genetics,Molecular Biology,Molecular Medicine,Biochemistry,Biotechnology

Link

https://www.liebertpub.com/doi/pdf/10.1089/omi.2018.0191

Reference14 articles.

1. Validation and Clinical Utility of a 70-Gene Prognostic Signature for Women With Node-Negative Breast Cancer

2. Regularization Paths for Generalized Linear Models via Coordinate Descent

3. Resampling-based multiple testing for microarray data analysis

4. Ridge Regression: Biased Estimation for Nonorthogonal Problems

5. Power and sample size for DNA microarray studies

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