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 …
disease diagnoses and prognoses which help to choose the appropriate treatment plan for …
[HTML][HTML] Microarray cancer feature selection: Review, challenges and research directions
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 …
which many researchers employ to study and investigate the levels of genes' expression in a …
A hybrid gene selection method for microarray recognition
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 …
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
technology is commonly used in the study of disease diagnosis using gene expression …