Classification of breast cancer using microarray gene expression data: A survey
Cancer, in particular breast cancer, is considered one of the most common causes of death worldwide according to the world health organization. For this reason, extensive research efforts have been done in the area of accurate and early diagnosis of cancer in order to increase the likelihood of cure...
Uloženo v:
| Vydáno v: | Journal of biomedical informatics Ročník 117; s. 103764 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
United States
01.05.2021
|
| Témata: | |
| ISSN: | 1532-0480, 1532-0480 |
| On-line přístup: | Zjistit podrobnosti o přístupu |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | Cancer, in particular breast cancer, is considered one of the most common causes of death worldwide according to the world health organization. For this reason, extensive research efforts have been done in the area of accurate and early diagnosis of cancer in order to increase the likelihood of cure. Among the available tools for diagnosing cancer, microarray technology has been proven to be effective. Microarray technology analyzes the expression level of thousands of genes simultaneously. Although the huge number of features or genes in the microarray data may seem advantageous, many of these features are irrelevant or redundant resulting in the deterioration of classification accuracy. To overcome this challenge, feature selection techniques are a mandatory preprocessing step before the classification process. In the paper, the main feature selection and classification techniques introduced in the literature for cancer (particularly breast cancer) are reviewed to improve the microarray-based classification. |
|---|---|
| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 |
| ISSN: | 1532-0480 1532-0480 |
| DOI: | 10.1016/j.jbi.2021.103764 |