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Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery
High-throughput omics experiments provide a wealth of data for exploring biomedical questions and for advancing translational research. However, despite this great potential, results that enter the clinical practice are scarce even twenty years after the completion of the human genome project. For t...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587237/ https://www.ncbi.nlm.nih.gov/pubmed/36271093 http://dx.doi.org/10.1038/s41540-022-00251-8 |
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author | Emmert-Streib, Frank |
author_facet | Emmert-Streib, Frank |
author_sort | Emmert-Streib, Frank |
collection | PubMed |
description | High-throughput omics experiments provide a wealth of data for exploring biomedical questions and for advancing translational research. However, despite this great potential, results that enter the clinical practice are scarce even twenty years after the completion of the human genome project. For this reason in this paper, we revisit problems with scientific discovery commonly summarized under the term reproducibility crisis. We will argue that the major problem that hampers progress in translational research is threefold. First, in order to establish biological foundations of disorders or general complex phenotypes, one needs to embrace emergence. Second, there seems to be confusion about the underlying hypotheses tested by omics studies. Third, most contemporary omics studies are designed to perform what can be seen as incremental corroborations of a hypothesis. In order to improve upon these shortcomings, we define a severe testing framework (STF) that can be applied to a large number of omics studies for enhancing scientific discovery in the biomedical sciences. Briefly, STF provides systematic means to trim wild-grown omics studies in a constructive way. |
format | Online Article Text |
id | pubmed-9587237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95872372022-10-23 Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery Emmert-Streib, Frank NPJ Syst Biol Appl Article High-throughput omics experiments provide a wealth of data for exploring biomedical questions and for advancing translational research. However, despite this great potential, results that enter the clinical practice are scarce even twenty years after the completion of the human genome project. For this reason in this paper, we revisit problems with scientific discovery commonly summarized under the term reproducibility crisis. We will argue that the major problem that hampers progress in translational research is threefold. First, in order to establish biological foundations of disorders or general complex phenotypes, one needs to embrace emergence. Second, there seems to be confusion about the underlying hypotheses tested by omics studies. Third, most contemporary omics studies are designed to perform what can be seen as incremental corroborations of a hypothesis. In order to improve upon these shortcomings, we define a severe testing framework (STF) that can be applied to a large number of omics studies for enhancing scientific discovery in the biomedical sciences. Briefly, STF provides systematic means to trim wild-grown omics studies in a constructive way. Nature Publishing Group UK 2022-10-21 /pmc/articles/PMC9587237/ /pubmed/36271093 http://dx.doi.org/10.1038/s41540-022-00251-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Emmert-Streib, Frank Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
title | Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
title_full | Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
title_fullStr | Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
title_full_unstemmed | Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
title_short | Severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
title_sort | severe testing with high-dimensional omics data for enhancing biomedical scientific discovery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587237/ https://www.ncbi.nlm.nih.gov/pubmed/36271093 http://dx.doi.org/10.1038/s41540-022-00251-8 |
work_keys_str_mv | AT emmertstreibfrank severetestingwithhighdimensionalomicsdataforenhancingbiomedicalscientificdiscovery |