Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships
Disease comorbidity is attracting increasing attention, but the involvement of molecular factors in forecasting risk of a disease in the presence of other diseases is poorly understood. Here the authors build a disease interaction network based on gene expression profile and discover new comorbidity...
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Nature Portfolio
2020
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oai:doaj.org-article:b8e750206f194b8fa013e289241caa122021-12-02T15:03:03ZInterpreting molecular similarity between patients as a determinant of disease comorbidity relationships10.1038/s41467-020-16540-x2041-1723https://doaj.org/article/b8e750206f194b8fa013e289241caa122020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16540-xhttps://doaj.org/toc/2041-1723Disease comorbidity is attracting increasing attention, but the involvement of molecular factors in forecasting risk of a disease in the presence of other diseases is poorly understood. Here the authors build a disease interaction network based on gene expression profile and discover new comorbidity relationships in patient subgroups.Jon Sánchez-ValleHéctor TejeroJosé María FernándezDavid JuanBeatriz Urda-GarcíaSalvador Capella-GutiérrezFátima Al-ShahrourRafael Tabarés-SeisdedosAnaïs BaudotVera PancaldiAlfonso ValenciaNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020) |
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Science Q |
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Science Q Jon Sánchez-Valle Héctor Tejero José María Fernández David Juan Beatriz Urda-García Salvador Capella-Gutiérrez Fátima Al-Shahrour Rafael Tabarés-Seisdedos Anaïs Baudot Vera Pancaldi Alfonso Valencia Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
description |
Disease comorbidity is attracting increasing attention, but the involvement of molecular factors in forecasting risk of a disease in the presence of other diseases is poorly understood. Here the authors build a disease interaction network based on gene expression profile and discover new comorbidity relationships in patient subgroups. |
format |
article |
author |
Jon Sánchez-Valle Héctor Tejero José María Fernández David Juan Beatriz Urda-García Salvador Capella-Gutiérrez Fátima Al-Shahrour Rafael Tabarés-Seisdedos Anaïs Baudot Vera Pancaldi Alfonso Valencia |
author_facet |
Jon Sánchez-Valle Héctor Tejero José María Fernández David Juan Beatriz Urda-García Salvador Capella-Gutiérrez Fátima Al-Shahrour Rafael Tabarés-Seisdedos Anaïs Baudot Vera Pancaldi Alfonso Valencia |
author_sort |
Jon Sánchez-Valle |
title |
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
title_short |
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
title_full |
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
title_fullStr |
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
title_full_unstemmed |
Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
title_sort |
interpreting molecular similarity between patients as a determinant of disease comorbidity relationships |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/b8e750206f194b8fa013e289241caa12 |
work_keys_str_mv |
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