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HENA, heterogeneous network-based data set for Alzheimer’s disease
Alzheimer’s disease and other types of dementia are the top cause for disabilities in later life and various types of experiments have been performed to understand the underlying mechanisms of the disease with the aim of coming up with potential drug targets. These experiments have been carried out...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694132/ https://www.ncbi.nlm.nih.gov/pubmed/31413325 http://dx.doi.org/10.1038/s41597-019-0152-0 |
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author | Sügis, Elena Dauvillier, Jerome Leontjeva, Anna Adler, Priit Hindie, Valerie Moncion, Thomas Collura, Vincent Daudin, Rachel Loe-Mie, Yann Herault, Yann Lambert, Jean-Charles Hermjakob, Henning Pupko, Tal Rain, Jean-Christophe Xenarios, Ioannis Vilo, Jaak Simonneau, Michel Peterson, Hedi |
author_facet | Sügis, Elena Dauvillier, Jerome Leontjeva, Anna Adler, Priit Hindie, Valerie Moncion, Thomas Collura, Vincent Daudin, Rachel Loe-Mie, Yann Herault, Yann Lambert, Jean-Charles Hermjakob, Henning Pupko, Tal Rain, Jean-Christophe Xenarios, Ioannis Vilo, Jaak Simonneau, Michel Peterson, Hedi |
author_sort | Sügis, Elena |
collection | PubMed |
description | Alzheimer’s disease and other types of dementia are the top cause for disabilities in later life and various types of experiments have been performed to understand the underlying mechanisms of the disease with the aim of coming up with potential drug targets. These experiments have been carried out by scientists working in different domains such as proteomics, molecular biology, clinical diagnostics and genomics. The results of such experiments are stored in the databases designed for collecting data of similar types. However, in order to get a systematic view of the disease from these independent but complementary data sets, it is necessary to combine them. In this study we describe a heterogeneous network-based data set for Alzheimer’s disease (HENA). Additionally, we demonstrate the application of state-of-the-art graph convolutional networks, i.e. deep learning methods for the analysis of such large heterogeneous biological data sets. We expect HENA to allow scientists to explore and analyze their own results in the broader context of Alzheimer’s disease research. |
format | Online Article Text |
id | pubmed-6694132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66941322019-08-19 HENA, heterogeneous network-based data set for Alzheimer’s disease Sügis, Elena Dauvillier, Jerome Leontjeva, Anna Adler, Priit Hindie, Valerie Moncion, Thomas Collura, Vincent Daudin, Rachel Loe-Mie, Yann Herault, Yann Lambert, Jean-Charles Hermjakob, Henning Pupko, Tal Rain, Jean-Christophe Xenarios, Ioannis Vilo, Jaak Simonneau, Michel Peterson, Hedi Sci Data Data Descriptor Alzheimer’s disease and other types of dementia are the top cause for disabilities in later life and various types of experiments have been performed to understand the underlying mechanisms of the disease with the aim of coming up with potential drug targets. These experiments have been carried out by scientists working in different domains such as proteomics, molecular biology, clinical diagnostics and genomics. The results of such experiments are stored in the databases designed for collecting data of similar types. However, in order to get a systematic view of the disease from these independent but complementary data sets, it is necessary to combine them. In this study we describe a heterogeneous network-based data set for Alzheimer’s disease (HENA). Additionally, we demonstrate the application of state-of-the-art graph convolutional networks, i.e. deep learning methods for the analysis of such large heterogeneous biological data sets. We expect HENA to allow scientists to explore and analyze their own results in the broader context of Alzheimer’s disease research. Nature Publishing Group UK 2019-08-14 /pmc/articles/PMC6694132/ /pubmed/31413325 http://dx.doi.org/10.1038/s41597-019-0152-0 Text en © The Author(s) 2019 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Sügis, Elena Dauvillier, Jerome Leontjeva, Anna Adler, Priit Hindie, Valerie Moncion, Thomas Collura, Vincent Daudin, Rachel Loe-Mie, Yann Herault, Yann Lambert, Jean-Charles Hermjakob, Henning Pupko, Tal Rain, Jean-Christophe Xenarios, Ioannis Vilo, Jaak Simonneau, Michel Peterson, Hedi HENA, heterogeneous network-based data set for Alzheimer’s disease |
title | HENA, heterogeneous network-based data set for Alzheimer’s disease |
title_full | HENA, heterogeneous network-based data set for Alzheimer’s disease |
title_fullStr | HENA, heterogeneous network-based data set for Alzheimer’s disease |
title_full_unstemmed | HENA, heterogeneous network-based data set for Alzheimer’s disease |
title_short | HENA, heterogeneous network-based data set for Alzheimer’s disease |
title_sort | hena, heterogeneous network-based data set for alzheimer’s disease |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694132/ https://www.ncbi.nlm.nih.gov/pubmed/31413325 http://dx.doi.org/10.1038/s41597-019-0152-0 |
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