Multi-stage feature selection in identifying potential biomarkers for cancer classification

• Main Authors: Wong, Yit Khee, Chan, Weng Howe, Nies, Hui Wen, Moorthy, Kohbalan
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/39085/1/Multi-stage%20feature%20selection%20in%20identifying%20potential%20biomarkers.pdf; http://umpir.ump.edu.my/id/eprint/39085/2/Multi-stage%20feature%20selection%20in%20identifying%20potential%20biomarkers%20for%20cancer%20classification_ABS.pdf; http://umpir.ump.edu.my/id/eprint/39085/; https://doi.org/10.1109/ICICyTA57421.2022.10037807

Biomarkers are indicators that show the disease state or its progression of certain health conditions. Identification of biomarkers greatly raises the probability of earlier diagnosis and could be further applied in developing effective treatment for the disease. Besides conducting laboratory analys...