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A statistical and biological response to an informatics appraisal of healthy aging gene signatures
Jacob and Speed did not identify even a single example of a ‘150-gene-set’ that was statistically significant at classifying Alzheimer’s disease (AD) samples, or age in independent studies. We attempt to clarify the various misunderstandings, below. ELECTRONIC SUPPLEMENTARY MATERIAL: The online vers...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676519/ https://www.ncbi.nlm.nih.gov/pubmed/31375147 http://dx.doi.org/10.1186/s13059-019-1734-z |
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author | Timmons, James A. Gallagher, Iain J. Sood, Sanjana Phillips, Bethan Crossland, Hannah Howard, Robert Kraus, William E. Atherton, Philip J. |
author_facet | Timmons, James A. Gallagher, Iain J. Sood, Sanjana Phillips, Bethan Crossland, Hannah Howard, Robert Kraus, William E. Atherton, Philip J. |
author_sort | Timmons, James A. |
collection | PubMed |
description | Jacob and Speed did not identify even a single example of a ‘150-gene-set’ that was statistically significant at classifying Alzheimer’s disease (AD) samples, or age in independent studies. We attempt to clarify the various misunderstandings, below. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1734-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6676519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66765192019-08-06 A statistical and biological response to an informatics appraisal of healthy aging gene signatures Timmons, James A. Gallagher, Iain J. Sood, Sanjana Phillips, Bethan Crossland, Hannah Howard, Robert Kraus, William E. Atherton, Philip J. Genome Biol Correspondence Jacob and Speed did not identify even a single example of a ‘150-gene-set’ that was statistically significant at classifying Alzheimer’s disease (AD) samples, or age in independent studies. We attempt to clarify the various misunderstandings, below. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1734-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-02 /pmc/articles/PMC6676519/ /pubmed/31375147 http://dx.doi.org/10.1186/s13059-019-1734-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Correspondence Timmons, James A. Gallagher, Iain J. Sood, Sanjana Phillips, Bethan Crossland, Hannah Howard, Robert Kraus, William E. Atherton, Philip J. A statistical and biological response to an informatics appraisal of healthy aging gene signatures |
title | A statistical and biological response to an informatics appraisal of healthy aging gene signatures |
title_full | A statistical and biological response to an informatics appraisal of healthy aging gene signatures |
title_fullStr | A statistical and biological response to an informatics appraisal of healthy aging gene signatures |
title_full_unstemmed | A statistical and biological response to an informatics appraisal of healthy aging gene signatures |
title_short | A statistical and biological response to an informatics appraisal of healthy aging gene signatures |
title_sort | statistical and biological response to an informatics appraisal of healthy aging gene signatures |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676519/ https://www.ncbi.nlm.nih.gov/pubmed/31375147 http://dx.doi.org/10.1186/s13059-019-1734-z |
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