Cancer classification using gene expression data
Y Lu, J Han - Information Systems, 2003 - Elsevier
The classification of different tumor types is of great importance in cancer diagnosis and
drug discovery. However, most previous cancer classification studies are clinical based and …
drug discovery. However, most previous cancer classification studies are clinical based and …
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 …
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 …
[HTML][HTML] Gene expression based cancer classification
S Tarek, R Abd Elwahab, M Shoman - Egyptian Informatics Journal, 2017 - Elsevier
Cancer classification based on molecular level investigation has gained the interest of
researches as it provides a systematic, accurate and objective diagnosis for different cancer …
researches as it provides a systematic, accurate and objective diagnosis for different cancer …
Classification of human cancer diseases by gene expression profiles
A cancers disease in virtually any of its types presents a significant reason behind death
surrounding the world. In cancer analysis, classification of varied tumor types is of the …
surrounding the world. In cancer analysis, classification of varied tumor types is of the …
Machine learning methods for cancer classification using gene expression data: A review
F Alharbi, A Vakanski - Bioengineering, 2023 - mdpi.com
Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …
that can spread in different parts of the body. According to the World Health Organization …
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 …
Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features
The explosion of DNA and protein sequence data in public and private databases has been
encouraging interdisciplinary research on biology and information technology. Gene …
encouraging interdisciplinary research on biology and information technology. Gene …
[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 comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data
R Tabares-Soto, S Orozco-Arias… - PeerJ Computer …, 2020 - peerj.com
Cancer classification is a topic of major interest in medicine since it allows accurate and
efficient diagnosis and facilitates a successful outcome in medical treatments. Previous …
efficient diagnosis and facilitates a successful outcome in medical treatments. Previous …