Feature importance ranking has become a powerful tool for explainable AI. However, its
nature of combinatorial optimization poses a great challenge for deep learning. In this paper …

This paper presents a Grouping Genetic Algorithm (GGA) to solve a maximally diverse
grouping problem. It has been applied for the classification of an unbalanced database of …

[Frontiers in Bioscience S3, 341-351, January 1, 2011] 341 Hsp60: molecular anatomy and role
in colorectal cancer diagnosis and Page 1 [Frontiers in Bioscience S3, 341-351, January 1 …

1. Introduction. 1.1. Brief history of bioinformatics. 1.2. Database application in
bioinformatics. 1.3. Web tools and services for sequence homology alignment. 1.4. Pattern …

Cancer diagnosis is an important emerging clinical application of microarray data. Its
accurate prediction to the type or size of tumors relies on adopting powerful and reliable …

Radial Basis Function Neural Networks (RBFNNs) have been successfully employed in
several function approximation and pattern recognition problems. The use of different RBFs …

Gene selection is an important task in bioinformatics studies, because the accuracy of
cancer classification generally depends upon the genes that have biological relevance to …

Microarray gene expression data sets usually contain a large number of genes, but a small
number of samples. In this article, we present a two-stage classification model by combining …

Microarray data provides information on gene expression levels of thousands of genes in a
cell in a single experiment. DNA microarray is a powerful tool in the diagnosis of cancer …

A number of different approaches based on high-throughput data have been developed for
cancer classification. However, these methods often ignore the underlying correlation …