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Biomarker Identification Using Text Mining
Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502861/ https://www.ncbi.nlm.nih.gov/pubmed/23197989 http://dx.doi.org/10.1155/2012/135780 |
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author | Li, Hui Liu, Chunmei |
author_facet | Li, Hui Liu, Chunmei |
author_sort | Li, Hui |
collection | PubMed |
description | Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database. |
format | Online Article Text |
id | pubmed-3502861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-35028612012-11-29 Biomarker Identification Using Text Mining Li, Hui Liu, Chunmei Comput Math Methods Med Research Article Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database. Hindawi Publishing Corporation 2012 2012-11-11 /pmc/articles/PMC3502861/ /pubmed/23197989 http://dx.doi.org/10.1155/2012/135780 Text en Copyright © 2012 H. Li and C. Liu. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Hui Liu, Chunmei Biomarker Identification Using Text Mining |
title | Biomarker Identification Using Text Mining |
title_full | Biomarker Identification Using Text Mining |
title_fullStr | Biomarker Identification Using Text Mining |
title_full_unstemmed | Biomarker Identification Using Text Mining |
title_short | Biomarker Identification Using Text Mining |
title_sort | biomarker identification using text mining |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502861/ https://www.ncbi.nlm.nih.gov/pubmed/23197989 http://dx.doi.org/10.1155/2012/135780 |
work_keys_str_mv | AT lihui biomarkeridentificationusingtextmining AT liuchunmei biomarkeridentificationusingtextmining |