Multivariate Method for Inferential Identification of Differentially Expressed Genes in Gene Expression Experiments-Reference-Cited by-同舟云学术

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Multivariate Method for Inferential Identification of Differentially Expressed Genes in Gene Expression Experiments

Published:2019-08 Issue:8 Volume:26 Page:866-874
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Acosta Juan Pablo¹,Restrepo Silvia²,Henao Juan David³,López-Kleine Liliana¹

Affiliation:

1. Statistics Department, Universidad Nacional de Colombia, Bogotá D.C., Colombia.

2. Department of Biological Sciences, Universidad de los Andes, Bogotá D.C., Colombia.

3. Faculty of Engineering, Universidad Nacional de Colombia, Bogotá D.C., Colombia.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2018.0013

Reference24 articles.

1. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling

2. The control of the false discovery rate in multiple testing under dependency

3. Gene profiling in partially resistant and susceptible near-isogenic tomatoes in response to late blight in the field

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1. Integrative analysis of lung molecular signatures reveals key drivers of idiopathic pulmonary fibrosis;BMC Pulmonary Medicine;2021-12

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