1. HDG-select: A novel GUI based application for gene selection and classification in high dimensional datasets
- Author
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Rohayanti Hassan, Wan Haslina Hassan, Shilan S. Hameed, Liza Abdul Latiff, and Fahmi F. Muhammadsharif
- Subjects
Man-Computer Interface ,RNA viruses ,Microarrays ,Computer science ,Gene Expression ,computer.software_genre ,Computer Architecture ,Machine Learning ,User-Computer Interface ,Electronics Engineering ,Databases, Genetic ,Breast Tumors ,Gene expression ,Medicine and Health Sciences ,Computer Engineering ,Graphical User Interfaces ,Pathology and laboratory medicine ,Graphical user interface ,Multidisciplinary ,Prostate Cancer ,Applied Mathematics ,Simulation and Modeling ,Prostate Diseases ,Medical microbiology ,Identification (information) ,Bioassays and Physiological Analysis ,Oncology ,Influenza A virus ,Viruses ,Physical Sciences ,Engineering and Technology ,Medicine ,Pathogens ,Algorithms ,Research Article ,Computer and Information Sciences ,Urology ,Science ,High dimensional ,Research and Analysis Methods ,Machine learning ,Microbiology ,Text mining ,Artificial Intelligence ,Support Vector Machines ,Breast Cancer ,Genetics ,Humans ,Influenza viruses ,Selection (genetic algorithm) ,business.industry ,Gene Expression Profiling ,Organisms ,Viral pathogens ,Cancers and Neoplasms ,Biology and Life Sciences ,Microbial pathogens ,Support vector machine ,Genitourinary Tract Tumors ,ComputingMethodologies_PATTERNRECOGNITION ,Gene selection ,Artificial intelligence ,business ,computer ,Software ,Mathematics ,User Interfaces ,Orthomyxoviruses - Abstract
The selection and classification of genes is essential for the identification of related genes to a specific disease. Developing a user-friendly application with combined statistical rigor and machine learning functionality to help the biomedical researchers and end users is of great importance. In this work, a novel stand-alone application, which is based on graphical user interface (GUI), is developed to perform the full functionality of gene selection and classification in high dimensional datasets. The so-called HDG-select application is validated on eleven high dimensional datasets of the format CSV and GEO soft. The proposed tool uses the efficient algorithm of combined filter-GBPSO-SVM and it was made freely available to users. It was found that the proposed HDG-select outperformed other tools reported in literature and presented a competitive performance, accessibility, and functionality.
- Published
- 2021