A comparative study of feature selection and classification methods for gene expression data of glioma

H Abusamra - Procedia Computer Science, 2013 - Elsevier
Microarray gene expression data gained great importance in recent years due to its role in
disease diagnoses and prognoses which help to choose the appropriate treatment plan for …

[HTML][HTML] Microarray cancer feature selection: Review, challenges and research directions

MA Hambali, TO Oladele, KS Adewole - International Journal of Cognitive …, 2020 - Elsevier
Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …

A hybrid gene selection method for microarray recognition

AK Shukla, P Singh, M Vardhan - Biocybernetics and Biomedical …, 2018 - Elsevier
DNA microarray data is expected to be a great help in the development of efficient diagnosis
and tumor classification. However, due to the small number of instances compared to a large …

Feature selection of gene expression data for cancer classification: a review

RK Singh, M Sivabalakrishnan - Procedia Computer Science, 2015 - Elsevier
The DNA microarray technology has capability to determine the levels of thousands of gene
simultaneously in a single experiment. Analysis of gene expression is important in many …

A combinational feature selection and ensemble neural network method for classification of gene expression data

B Liu, Q Cui, T Jiang, S Ma - BMC bioinformatics, 2004 - Springer
Background Microarray experiments are becoming a powerful tool for clinical diagnosis, as
they have the potential to discover gene expression patterns that are characteristic for a …

Efficient machine learning technique for tumor classification based on gene expression data

C Venkatesan, D Balamurugan… - 2022 8th …, 2022 - ieeexplore.ieee.org
In bioinformatics research, cancer classification is a crucial domain. The use of microarray
technology to identify specific illnesses is common. A small number of genes uncovered in …

[PDF][PDF] Machine learning based approaches for cancer classification using gene expression data

A Bhola, AK Tiwari - Machine Learning and Applications: An …, 2015 - academia.edu
The classification of different types of tumor is of great importance in cancer diagnosis and
drug discovery. Earlier studies on cancer classification have limited diagnostic ability. The …

[PDF][PDF] Feature selection for cancer classification using microarray gene expression data

W Zhong - 2014 - prism.ucalgary.ca
The rapid development of DNA microarray technology enables researchers to measure the
expression levels of thousands of genes simultaneously and allows biologists easily gain …

An evolutionary method for combining different feature selection criteria in microarray data classification

N Dessì, B Pes - Journal of Artificial Evolution and applications, 2009 - Wiley Online Library
The classification of cancers from gene expression profiles is a challenging research area in
bioinformatics since the high dimensionality of microarray data results in irrelevant and …

[PDF][PDF] Performance analysis of genetic algorithm with kNN and SVM for feature selection in tumor classification

C Gunavathi, K Premalatha - International Journal of Computer …, 2014 - researchgate.net
Tumor classification is a key area of research in the field of bioinformatics. Microarray
technology is commonly used in the study of disease diagnosis using gene expression …