Feature selection methods on gene expression microarray data for cancer classification: A systematic review
This systematic review provides researchers interested in feature selection (FS) for
processing microarray data with comprehensive information about the main research …
processing microarray data with comprehensive information about the main research …
[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 survey on hybrid feature selection methods in microarray gene expression data for cancer classification
N Almugren, H Alshamlan - IEEE access, 2019 - ieeexplore.ieee.org
The emergence of DNA Microarray technology has enabled researchers to analyze the
expression level of thousands of genes simultaneously. The Microarray data analysis is the …
expression level of thousands of genes simultaneously. The Microarray data analysis is the …
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 …
[HTML][HTML] Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts
M Dashtban, M Balafar - Genomics, 2017 - Elsevier
Gene selection is a demanding task for microarray data analysis. The diverse complexity of
different cancers makes this issue still challenging. In this study, a novel evolutionary …
different cancers makes this issue still challenging. In this study, a novel evolutionary …
A novel gene selection algorithm for cancer classification using microarray datasets
R Alanni, J Hou, H Azzawi, Y Xiang - BMC medical genomics, 2019 - Springer
Background Microarray datasets are an important medical diagnostic tool as they represent
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …
the states of a cell at the molecular level. Available microarray datasets for classifying cancer …
Optimized feature selection method using particle swarm intelligence with ensemble learning for cancer classification based on microarray datasets
Cancer is considered a leading cause of mortality in both developed and developing
countries. Cancer classification based on the microarray dataset has provided insight into …
countries. Cancer classification based on the microarray dataset has provided insight into …
An experimental comparison of feature-selection and classification methods for microarray datasets
In the last decade, there has been a growing scientific interest in the analysis of DNA
microarray datasets, which have been widely used in basic and translational cancer …
microarray datasets, which have been widely used in basic and translational cancer …
A hybrid feature selection method for DNA microarray data
LY Chuang, CH Yang, KC Wu, CH Yang - Computers in biology and …, 2011 - Elsevier
Gene expression profiles, which represent the state of a cell at a molecular level, have great
potential as a medical diagnosis tool. In cancer classification, available training data sets are …
potential as a medical diagnosis tool. In cancer classification, available training data sets are …
Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm
Background In the application of microarray data, how to select a small number of
informative genes from thousands of genes that may contribute to the occurrence of cancers …
informative genes from thousands of genes that may contribute to the occurrence of cancers …