Cancer classification of gene expression data using machine learning models

M Joseph, M Devaraj, LA Vea - 2018 IEEE 10th International …, 2018 - ieeexplore.ieee.org
The World Cancer Report described cancer as a global problem because it affects the whole
greater population. It was projected by that cancer incidence will increase to 20 million new …

Feature selection and classification in gene expression cancer data

D Pavithra, B Lakshmanan - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Gene Expression data comprising more number genes and samples are used for cancer
classification. Gene Expression information provides the gene expression level contributing …

A comparative study of cancer classification methods using microarray gene expression profile

H Alshamlan, G Badr, Y Alohali - … of the first international conference on …, 2014 - Springer
Microarray based gene expression profiling has been emerged as an efficient technique for
cancer classification, as well as for diagnosis, prognosis, and treatment purposes. The …

Survey on recent cancer classification systems for cancer diagnosis

S Shandilya, C Chandankhede - … International Conference on …, 2017 - ieeexplore.ieee.org
In the present epoch of technology medical field has become one of the favorite topics of
researcher and cancer is among one of them. It is a topic of concern because actual …

Statistical class prediction method for efficient microarray gene expression data sample classification

T Sheela, L Rangarajan - 2017 International Conference on …, 2017 - ieeexplore.ieee.org
Cancer classification is routinely done using gene expression data. With microarray
technology, monitoring thousands of genes is an easy task. The reliable and precise …

Gene selection and classification of microarray data using convolutional neural network

DQ Zeebaree, H Haron… - … Conference on Advanced …, 2018 - ieeexplore.ieee.org
Gene expression profiles could be generated in large quantities by utilizing microarray
techniques. Currently, the task of diagnosing diseases relies on gene expression data. One …

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 …

A survey of gene selection and classification techniques based on cancer microarray data analysis

X Zhang, T He, L Ouyang, X Xu… - 2018 IEEE 4th …, 2018 - ieeexplore.ieee.org
A growing number of cancer deaths draws attractions in the areas of bioinformatics
worldwide. It is worth noting that cancer microarray data is composed of tens of thousands of …

Cancer classification based on microarray gene expression data using deep learning

P Guillen, J Ebalunode - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
The classification of cancer is a major research topic in Medicine. Cancer microarray data
normally contains a small number of samples, which have a large number of gene …

Classifying Microarray Gene Expression Cancer Data Using Statistical Feature Selection and Machine Learning Methods

S Alagukumar, T Kathirvalavakumar - … : Proceedings of CIS 2021, Volume 1, 2022 - Springer
Objective: A breast microarray data is a repository of thousands of gene expressions with
different strengths of each cancer cell. It is necessary to detect the genes which are …