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Current Developments in Machine Learning Techniques in Biological Data Mining
This supplement is intended to focus on the use of machine learning techniques to generate meaningful information on biological data. This supplement under Bioinformatics and Biology Insights aims to provide scientists and researchers working in this rapid and evolving field with online, open-access...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390918/ https://www.ncbi.nlm.nih.gov/pubmed/28469415 http://dx.doi.org/10.1177/1177932216687545 |
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author | Dumancas, Gerard G Adrianto, Indra Bello, Ghalib Dozmorov, Mikhail |
author_facet | Dumancas, Gerard G Adrianto, Indra Bello, Ghalib Dozmorov, Mikhail |
author_sort | Dumancas, Gerard G |
collection | PubMed |
description | This supplement is intended to focus on the use of machine learning techniques to generate meaningful information on biological data. This supplement under Bioinformatics and Biology Insights aims to provide scientists and researchers working in this rapid and evolving field with online, open-access articles authored by leading international experts in this field. Advances in the field of biology have generated massive opportunities to allow the implementation of modern computational and statistical techniques. Machine learning methods in particular, a subfield of computer science, have evolved as an indispensable tool applied to a wide spectrum of bioinformatics applications. Thus, it is broadly used to investigate the underlying mechanisms leading to a specific disease, as well as the biomarker discovery process. With a growth in this specific area of science comes the need to access up-to-date, high-quality scholarly articles that will leverage the knowledge of scientists and researchers in the various applications of machine learning techniques in mining biological data. |
format | Online Article Text |
id | pubmed-5390918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-53909182017-05-03 Current Developments in Machine Learning Techniques in Biological Data Mining Dumancas, Gerard G Adrianto, Indra Bello, Ghalib Dozmorov, Mikhail Bioinform Biol Insights Editorial This supplement is intended to focus on the use of machine learning techniques to generate meaningful information on biological data. This supplement under Bioinformatics and Biology Insights aims to provide scientists and researchers working in this rapid and evolving field with online, open-access articles authored by leading international experts in this field. Advances in the field of biology have generated massive opportunities to allow the implementation of modern computational and statistical techniques. Machine learning methods in particular, a subfield of computer science, have evolved as an indispensable tool applied to a wide spectrum of bioinformatics applications. Thus, it is broadly used to investigate the underlying mechanisms leading to a specific disease, as well as the biomarker discovery process. With a growth in this specific area of science comes the need to access up-to-date, high-quality scholarly articles that will leverage the knowledge of scientists and researchers in the various applications of machine learning techniques in mining biological data. SAGE Publications 2017-03-22 /pmc/articles/PMC5390918/ /pubmed/28469415 http://dx.doi.org/10.1177/1177932216687545 Text en © The Author(s) 2017 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Editorial Dumancas, Gerard G Adrianto, Indra Bello, Ghalib Dozmorov, Mikhail Current Developments in Machine Learning Techniques in Biological Data Mining |
title | Current Developments in Machine Learning Techniques in Biological Data Mining |
title_full | Current Developments in Machine Learning Techniques in Biological Data Mining |
title_fullStr | Current Developments in Machine Learning Techniques in Biological Data Mining |
title_full_unstemmed | Current Developments in Machine Learning Techniques in Biological Data Mining |
title_short | Current Developments in Machine Learning Techniques in Biological Data Mining |
title_sort | current developments in machine learning techniques in biological data mining |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5390918/ https://www.ncbi.nlm.nih.gov/pubmed/28469415 http://dx.doi.org/10.1177/1177932216687545 |
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