The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Cancer Classification From DNA Microarray Using Genetic Algorithms and Case-Based Reasoning
Abstract
There are many similarities in the symptoms of several types of cancer and that makes it sometimes difficult for the physicians to do an accurate diagnosis. In addition, it is a technical challenge to classify accurately the cancer cells in order to differentiate one type of cancer from another. The DNA microarray technique (also called the DNA chip) has been used in the past for the classification of cancer but it generates a large volume of noisy data that has many features, and is difficult to analyze directly. This paper proposes a new method, combining the genetic algorithm, case-based reasoning, and the k-nearest neighbor classifier, which improves the performance of the classification considerably. The authors have also used the well-known Mahalanobis distance of multivariate statistics as a similarity measure that improves the accuracy. A case-based classifier approach together with the genetic algorithm has never been applied before for the classification of cancer, same with the application of the Mahalanobis distance. Thus, the proposed approach is a novel method for the cancer classification. Furthermore, the results from the proposed method show considerably better performance than other algorithms. Experiments were done on several benchmark datasets such as the leukemia dataset, the lymphoma dataset, ovarian cancer dataset, and breast cancer dataset.
Related Content
|
David Juárez-Varón, Manuel Ángel Juárez-Varón.
© 2024.
26 pages.
|
|
Piyush Bagla, Kuldeep Kumar.
© 2023.
14 pages.
|
|
Irfan M. Leghari, Syed Asif Ali.
© 2023.
11 pages.
|
|
Dingju Zhu, Jianbin Tan, Guangbo Luo, Haoxiang Gu, Zhanhao Ye, Renfeng Deng, Keyi He, KaiLeung Yung, Andrew W. H. Ip.
© 2023.
16 pages.
|
|
Hongli Chu, Yanhong Ji, Dingju Zhu, Zhanhao Ye, Jianbin Tan, Xianping Hou, Yujie Lin.
© 2023.
25 pages.
|
|
Mohammad Alauthman, Ahmad al-Qerem, Someah Alangari, Ali Mohd Ali, Ahmad Nabo, Amjad Aldweesh, Issam Jebreen, Ammar Almomani, Brij B. Gupta.
© 2023.
24 pages.
|
|
Charles Shi Tan.
© 2023.
19 pages.
|
|
|