[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 …
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 …
A clustering approach for feature selection in microarray data classification using random forest
H Aydadenta, A Adiwijaya - Journal of Information Processing …, 2018 - koreascience.kr
Microarray data plays an essential role in diagnosing and detecting cancer. Microarray
analysis allows the examination of levels of gene expression in specific cell samples, where …
analysis allows the examination of levels of gene expression in specific cell samples, where …
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 …
An enhanced feature selection filter for classification of microarray cancer data
DH Mazumder, R Veilumuthu - ETRI Journal, 2019 - Wiley Online Library
The main aim of this study is to select the optimal set of genes from microarray cancer
datasets that contribute to the prediction of specific cancer types. This study proposes the …
datasets that contribute to the prediction of specific cancer types. This study proposes the …
An expert system to classify microarray gene expression data using gene selection by decision tree
JT Horng, LC Wu, BJ Liu, JL Kuo, WH Kuo… - Expert Systems with …, 2009 - Elsevier
Gene selection can help the analysis of microarray gene expression data. However, it is very
difficult to obtain a satisfactory classification result by machine learning techniques because …
difficult to obtain a satisfactory classification result by machine learning techniques because …
[PDF][PDF] Feature selection for cancer classification using microarray gene expression data
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 …
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 …
[HTML][HTML] Classification of breast cancer using microarray gene expression data: A survey
Cancer, in particular breast cancer, is considered one of the most common causes of death
worldwide according to the world health organization. For this reason, extensive research …
worldwide according to the world health organization. For this reason, extensive research …
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 …