A novel approach for identifying relevant genes for breast cancer survivability on specific therapies
Analyzing the genetic activity of breast cancer survival for a specific type of therapy provides a better understanding of the body response to the treatment and helps select the best course of action and while leading to the design of drugs based on gene activity. In this work, we use supervised...
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SAGE Publications
2023
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oai:scholar.dlu.edu.vn:123456789-27092023-06-14T16:56:20Z A novel approach for identifying relevant genes for breast cancer survivability on specific therapies Phạm, Quang Huy Ashraf, Abou Tabl Abedalrhman, Alkhateeb Alioune, Ngom breast cancer gene biomarkers treatment therapy feature selection classification Analyzing the genetic activity of breast cancer survival for a specific type of therapy provides a better understanding of the body response to the treatment and helps select the best course of action and while leading to the design of drugs based on gene activity. In this work, we use supervised and nonsupervised machine learning methods to deal with a multiclass classification problem in which we label the samples based on the combination of the 5-year survivability and treatment; we focus on hormone therapy, radiotherapy, and surgery. The proposed nonsupervised hierarchical models are created to find the highest separability between combinations of the classes. The supervised model consists of a combination of feature selection techniques and efficient classifiers used to find a potential set of biomarker genes specific to response to therapy. The results show that different models achieve different performance scores with accuracies ranging from 80.9% to 100%. We have investigated the roles of many biomarkers through the literature and found that some of the discriminative genes in the computational model such as ZC3H11A, VAX2, MAF1, and ZFP91 are related to breast cancer and other types of cancer 2023-06-14T16:56:13Z 2023-06-14T16:56:13Z 2018 Journal article Bài báo đăng trên tạp chí quốc tế (có ISSN), bao gồm book chapter https://scholar.dlu.edu.vn/handle/123456789/2709 en Evolutionary Bioinformatics SAGE Publications |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
breast cancer gene biomarkers treatment therapy feature selection classification |
| spellingShingle |
breast cancer gene biomarkers treatment therapy feature selection classification Phạm, Quang Huy Ashraf, Abou Tabl Abedalrhman, Alkhateeb Alioune, Ngom A novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| description |
Analyzing the genetic activity of breast cancer survival for a specific type of therapy provides a better understanding of the body
response to the treatment and helps select the best course of action and while leading to the design of drugs based on gene activity. In this
work, we use supervised and nonsupervised machine learning methods to deal with a multiclass classification problem in which we label the
samples based on the combination of the 5-year survivability and treatment; we focus on hormone therapy, radiotherapy, and surgery. The
proposed nonsupervised hierarchical models are created to find the highest separability between combinations of the classes. The supervised
model consists of a combination of feature selection techniques and efficient classifiers used to find a potential set of biomarker genes
specific to response to therapy. The results show that different models achieve different performance scores with accuracies ranging from
80.9% to 100%. We have investigated the roles of many biomarkers through the literature and found that some of the discriminative genes in
the computational model such as ZC3H11A, VAX2, MAF1, and ZFP91 are related to breast cancer and other types of cancer |
| format |
Journal article |
| author |
Phạm, Quang Huy Ashraf, Abou Tabl Abedalrhman, Alkhateeb Alioune, Ngom |
| author_facet |
Phạm, Quang Huy Ashraf, Abou Tabl Abedalrhman, Alkhateeb Alioune, Ngom |
| author_sort |
Phạm, Quang Huy |
| title |
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| title_short |
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| title_full |
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| title_fullStr |
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| title_full_unstemmed |
A novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| title_sort |
novel approach for identifying relevant genes for breast cancer survivability on specific therapies |
| publisher |
SAGE Publications |
| publishDate |
2023 |
| url |
https://scholar.dlu.edu.vn/handle/123456789/2709 |
| _version_ |
1778233930267230208 |