Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data
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...
Saved in:
Main Authors: | Singh, Balkaran, Doborjeh, Maryam, Doborjeh, Zohreh, Budhraja, Sugam, Tan, Samuel, Sumich, Alexander, Goh, Wilson, Lee, Jimmy, Lai, Edmund, Kasabov, Nikola |
---|---|
Other Authors: | School of Biological Sciences |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/169391 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Investigation of social and cognitive predictors in non-transition ultra-high-risk' individuals for psychosis using spiking neural networks
by: Doborjeh, Zohreh, et al.
Published: (2024) -
RNA-sequencing of peripheral whole blood of individuals at ultra-high-risk for psychosis - a longitudinal perspective
by: Tan, Samuel Ming Xuan, et al.
Published: (2024) -
A generalisability theory approach to quantifying changes in psychopathology among ultra-high-risk individuals for psychosis
by: Doborjeh, Zohreh, et al.
Published: (2025) -
Filter and wrapper stacking ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data
by: Budhraja, Sugam, et al.
Published: (2024) -
Self-Propelled Supercapacitors for On-Demand Circuit Configuration Based on WS2 Nanoparticles Micromachines
by: Mayorga-Martinez, Carmen Clotilde, et al.
Published: (2017)