A Gray Wolf Optimization-Inspired Hybrid Method for Disease Identification
E Asad, AF Mollah - International Conference on Communication, Devices …, 2023 - Springer
Disease identification from gene expression microarray data is an extremely important
research problem. Analysis of microarray data helps to accurately diagnose the disease …
research problem. Analysis of microarray data helps to accurately diagnose the disease …
Biomarker identification from gene expression: an effective computational pipeline
E Asad, AF Mollah - International Journal of Bioinformatics …, 2024 - inderscienceonline.com
Discovering biomarkers from microarray data is an extremely important research subject, as
biomarkers help to diagnose disease types, find therapeutic plans for a disease, and contain …
biomarkers help to diagnose disease types, find therapeutic plans for a disease, and contain …
Univariate Feature Fitness Measures for Classification Problems: An Empirical Assessment
This paper offers a brief assessment of leading filter-based feature selectors ie chi-square,
symmetrical uncertainty, ANOVA f-statistic, mutual information, fisher score, gini index and …
symmetrical uncertainty, ANOVA f-statistic, mutual information, fisher score, gini index and …
Improving Acute Leukemia Classification through Recursive Feature Elimination and Multilayer Perceptron Analysis of Gene Expression Data
This study presents an approach to improving the classification of acute leukemia subtypes
using gene expression data analysis. Leveraging Recursive Feature Elimination (RFE) as a …
using gene expression data analysis. Leveraging Recursive Feature Elimination (RFE) as a …