Adaptive Structure Learning for Leukemia Biomarker Discovery from Gene Expression Data
نویسندگان
1 Hematology and Oncology Research Center, Noncommunicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran - Hematology and Oncology Research Center, Noncommunicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 Department of Computer Engineering, Faculty of Engineering, Ardakan University, P.O. Box 184, Ardakan, Iran - Department of Computer Engineering, Faculty of Engineering, Ardakan University, P.O. Box 184, Ardakan, Iran
3 Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran - Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
doi
10.18502/ijpho.v16i3.21751چکیده
Background: Leukemia classification based on gene expression data is a challenging problem due to the high dimensionality of microarray datasets and the limited number of patient samples. Identifying a small subset of informative genes (biomarkers) that can accurately distinguish between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) is essential for ...
