Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data

• المؤلفون الرئيسيون: Singh, Balkaran, Doborjeh, Maryam, Doborjeh, Zohreh, Budhraja, Sugam, Tan, Samuel, Sumich, Alexander, Goh, Wilson, Lee, Jimmy, Lai, Edmund, Kasabov, Nikola
• مؤلفون آخرون: School of Biological Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Science::Biological sciences; Algorithm; Bipolar Disorder
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/169391

Interpretable machine learning models for gene expression datasets are important for understanding the decision-making process of a classifier and gaining insights on the underlying molecular processes of genetic conditions. Interpretable models can potentially support early diagnosis before full di...