Gene expression profile classification: A review
| dc.contributor.author | Musa H. Asyali | |
| dc.contributor.author | Dilek Colak | |
| dc.contributor.author | Omer Demirkaya | |
| dc.contributor.author | Mehmet S. Inan | |
| dc.contributor.author | Asyali, Musa H. | |
| dc.contributor.author | Colak, Dilek | |
| dc.contributor.author | Demirkaya, Omer | |
| dc.contributor.author | Inan, Mehmet S. | |
| dc.date | JAN | |
| dc.date.accessioned | 2025-10-06T16:20:59Z | |
| dc.date.issued | 2006 | |
| dc.description.abstract | In this review we have discussed the class-prediction and discovery methods that are applied to gene expression data along with the implications of the findings. We attempted to present a unified approach that considers both class-prediction and class-discovery. We devoted a substantial part of this review to an overview of pattern classification/recognition methods and discussed important issues such as preprocessing of gene expression data curse of dimensionality feature extraction/selection and measuring or estimating classifier performance. We discussed and summarized important properties such as generalizability (sensitivity to overtraining) built-in feature selection ability to report prediction strength and transparency (ease of understanding of the operation) of different class-predictor design approaches to provide a quick and concise reference. We have also covered the topic of biclustering which is an emerging clustering method that processes the entries of the gene expression data matrix in both gene and sample directions simultaneously in detail. | |
| dc.identifier.doi | 10.2174/157489306775330615 | |
| dc.identifier.issn | 1574-8936 | |
| dc.identifier.issn | 2212-392X | |
| dc.identifier.uri | http://dx.doi.org/10.2174/157489306775330615 | |
| dc.identifier.uri | https://gcris.yasar.edu.tr/handle/123456789/6635 | |
| dc.identifier.uri | https://doi.org/10.2174/157489306775330615 | |
| dc.language.iso | English | |
| dc.publisher | BENTHAM SCIENCE PUBL LTD | |
| dc.relation.ispartof | Current Bioinformatics | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.source | CURRENT BIOINFORMATICS | |
| dc.subject | CDNA MICROARRAY DATA, FUZZY C-MEANS, STATISTICAL PATTERN-RECOGNITION, 2-WAY CLUSTERING ANALYSIS, NORMALIZATION METHODS, FEATURE-SELECTION, SAMPLE-SIZE, NONPARAMETRIC METHODS, MAXIMUM-LIKELIHOOD, CANCER | |
| dc.title | Gene expression profile classification: A review | |
| dc.type | Review | |
| dspace.entity.type | Publication | |
| gdc.author.id | Colak, Dilek/0000-0001-6485-8768 | |
| gdc.author.wosid | Colak, Dilek/IQT-4246-2023 | |
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| gdc.description.department | ||
| gdc.description.departmenttemp | King Faisal Specialist Hosp & Res Ctr, Dept Biostat Epidemiol & Sci Comp, Riyadh 11211, Saudi Arabia; King Faisal Specialist Hosp & Res Ctr, Dept Biomed Phys, Riyadh 11211, Saudi Arabia; King Faisal Specialist Hosp & Res Ctr, Dept Genet, Riyadh 11211, Saudi Arabia | |
| gdc.description.endpage | 73 | |
| gdc.description.issue | 1 | |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| gdc.description.startpage | 55 | |
| gdc.description.volume | 1 | |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.identifier.openalex | W2022892561 | |
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| gdc.oaire.sciencefields | 0301 basic medicine | |
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| person.identifier.orcid | Colak- Dilek/0000-0001-6485-8768 | |
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