Microarray-Based Cancer Prediction Using Soft Computing Approach
One of the difficulties in using gene expression profiles to predict cancer is how to effectively select a few informative genes to construct accurate prediction models from thousands or ten thousands of genes. We screen highly discriminative genes and gene pairs to create simple prediction models i...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2009-01-01
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| Series: | Cancer Informatics |
| Subjects: | |
| Online Access: | http://www.la-press.com/microarray-based-cancer-prediction-using-soft-computing-approach-a1471 |
| _version_ | 1818159819697160192 |
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| author | Xiaosheng Wang Osamu Gotoh |
| author_facet | Xiaosheng Wang Osamu Gotoh |
| author_sort | Xiaosheng Wang |
| collection | DOAJ |
| description | One of the difficulties in using gene expression profiles to predict cancer is how to effectively select a few informative genes to construct accurate prediction models from thousands or ten thousands of genes. We screen highly discriminative genes and gene pairs to create simple prediction models involved in single genes or gene pairs on the basis of soft computing approach and rough set theory. Accurate cancerous prediction is obtained when we apply the simple prediction models for four cancerous gene expression datasets: CNS tumor, colon tumor, lung cancer and DLBCL. Some genes closely correlated with the pathogenesis of specific or general cancers are identified. In contrast with other models, our models are simple, effective and robust. Meanwhile, our models are interpretable for they are based on decision rules. Our results demonstrate that very simple models may perform well on cancerous molecular prediction and important gene markers of cancer can be detected if the gene selection approach is chosen reasonably. |
| first_indexed | 2024-12-11T15:52:03Z |
| format | Article |
| id | doaj.art-4f4a8f9b02014d1d9dea0fff0a181b69 |
| institution | Directory Open Access Journal |
| issn | 1176-9351 |
| language | English |
| last_indexed | 2024-12-11T15:52:03Z |
| publishDate | 2009-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Cancer Informatics |
| spelling | doaj.art-4f4a8f9b02014d1d9dea0fff0a181b692022-12-22T00:59:32ZengSAGE PublishingCancer Informatics1176-93512009-01-017123139Microarray-Based Cancer Prediction Using Soft Computing ApproachXiaosheng WangOsamu GotohOne of the difficulties in using gene expression profiles to predict cancer is how to effectively select a few informative genes to construct accurate prediction models from thousands or ten thousands of genes. We screen highly discriminative genes and gene pairs to create simple prediction models involved in single genes or gene pairs on the basis of soft computing approach and rough set theory. Accurate cancerous prediction is obtained when we apply the simple prediction models for four cancerous gene expression datasets: CNS tumor, colon tumor, lung cancer and DLBCL. Some genes closely correlated with the pathogenesis of specific or general cancers are identified. In contrast with other models, our models are simple, effective and robust. Meanwhile, our models are interpretable for they are based on decision rules. Our results demonstrate that very simple models may perform well on cancerous molecular prediction and important gene markers of cancer can be detected if the gene selection approach is chosen reasonably.http://www.la-press.com/microarray-based-cancer-prediction-using-soft-computing-approach-a1471gene expression profilescancer predictionsoft computingrough set theoryfeature selectiondecision rules |
| spellingShingle | Xiaosheng Wang Osamu Gotoh Microarray-Based Cancer Prediction Using Soft Computing Approach Cancer Informatics gene expression profiles cancer prediction soft computing rough set theory feature selection decision rules |
| title | Microarray-Based Cancer Prediction Using Soft Computing Approach |
| title_full | Microarray-Based Cancer Prediction Using Soft Computing Approach |
| title_fullStr | Microarray-Based Cancer Prediction Using Soft Computing Approach |
| title_full_unstemmed | Microarray-Based Cancer Prediction Using Soft Computing Approach |
| title_short | Microarray-Based Cancer Prediction Using Soft Computing Approach |
| title_sort | microarray based cancer prediction using soft computing approach |
| topic | gene expression profiles cancer prediction soft computing rough set theory feature selection decision rules |
| url | http://www.la-press.com/microarray-based-cancer-prediction-using-soft-computing-approach-a1471 |
| work_keys_str_mv | AT xiaoshengwang microarraybasedcancerpredictionusingsoftcomputingapproach AT osamugotoh microarraybasedcancerpredictionusingsoftcomputingapproach |