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 …

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 …

Classification of human cancer diseases by gene expression profiles

H Salem, G Attiya, N El-Fishawy - Applied Soft Computing, 2017 - Elsevier
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 …

[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 …

Applying particle swarm optimization-based decision tree classifier for cancer classification on gene expression data

KH Chen, KJ Wang, KM Wang, MA Angelia - Applied Soft Computing, 2014 - Elsevier
Background The application of microarray data for cancer classification is important.
Researchers have tried to analyze gene expression data using various computational …

An Efficient Cancer Classification Model Using Microarray and High‐Dimensional Data

H Fathi, H AlSalman, A Gumaei… - Computational …, 2021 - Wiley Online Library
Cancer can be considered as one of the leading causes of death widely. One of the most
effective tools to be able to handle cancer diagnosis, prognosis, and treatment is by using …

[HTML][HTML] 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 …

[HTML][HTML] Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm

KH Chen, KJ Wang, ML Tsai, KM Wang, AM Adrian… - BMC …, 2014 - Springer
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 …

[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 …

[HTML][HTML] 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 …