Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer

Advances in omics technology have resulted in the generation of multi-view data for cancer samples. Here, the authors compare dimensionality reduction techniques using simulated and TCGA data and identify the features of the methods with superior performance.

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Autores principales:	Laura Cantini, Pooya Zakeri, Celine Hernandez, Aurelien Naldi, Denis Thieffry, Elisabeth Remy, Anaïs Baudot
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/46bcfde47530473dae0c303f24558469
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spelling	oai:doaj.org-article:46bcfde47530473dae0c303f245584692021-12-02T15:16:22ZBenchmarking joint multi-omics dimensionality reduction approaches for the study of cancer10.1038/s41467-020-20430-72041-1723https://doaj.org/article/46bcfde47530473dae0c303f245584692021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-20430-7https://doaj.org/toc/2041-1723Advances in omics technology have resulted in the generation of multi-view data for cancer samples. Here, the authors compare dimensionality reduction techniques using simulated and TCGA data and identify the features of the methods with superior performance.Laura CantiniPooya ZakeriCeline HernandezAurelien NaldiDenis ThieffryElisabeth RemyAnaïs BaudotNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Laura Cantini Pooya Zakeri Celine Hernandez Aurelien Naldi Denis Thieffry Elisabeth Remy Anaïs Baudot Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
description	Advances in omics technology have resulted in the generation of multi-view data for cancer samples. Here, the authors compare dimensionality reduction techniques using simulated and TCGA data and identify the features of the methods with superior performance.
format	article
author	Laura Cantini Pooya Zakeri Celine Hernandez Aurelien Naldi Denis Thieffry Elisabeth Remy Anaïs Baudot
author_facet	Laura Cantini Pooya Zakeri Celine Hernandez Aurelien Naldi Denis Thieffry Elisabeth Remy Anaïs Baudot
author_sort	Laura Cantini
title	Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
title_short	Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
title_full	Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
title_fullStr	Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
title_full_unstemmed	Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
title_sort	benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/46bcfde47530473dae0c303f24558469
work_keys_str_mv	AT lauracantini benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer AT pooyazakeri benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer AT celinehernandez benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer AT aureliennaldi benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer AT denisthieffry benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer AT elisabethremy benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer AT anaisbaudot benchmarkingjointmultiomicsdimensionalityreductionapproachesforthestudyofcancer
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Benchmarking joint multi-omics dimensionality reduction approaches for the study of cancer

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