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 …

A case study of microarray breast cancer classification using machine learning algorithms with grid search cross validation

NM Ali, R Besar, NA Ab Aziz - Bulletin of Electrical Engineering and …, 2023 - beei.org
Breast cancer is one of the leading causes of death and most frequently diagnosed cancer
amongst women. Annually, almost half a million women do not survive the disease and die …

Identification of Therapeutic Targets and Biomarker for Breast Cancer Using Microarray Datamining

ARP Joe, C Babu - International Journal of Bioinformatics and …, 2018 - indianjournals.com
Neuropilin2 is a family of receptor protein involved in endocrine development in Breast and
ducts. The bHLH regulates transcription of Neuropilin2 (NRP2) of progenitor ductal and …

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 …

Microarray gene expression classification for cancer detection using artificial neural networks and genetic algorithm hybrid intelligence

K Cahyaningrum, W Astuti - 2020 international conference on …, 2020 - ieeexplore.ieee.org
Microarray has been a challenging yet intriguing field in biotechnology. It is also one of the
most important approaches that can help diagnose any range of cancers. Microarray gene …

Classification of Breast Cancer Subtypes using Microarray RNA Expression Data

MS Suhiman, SM Deni, AZUSM Japeri… - … in Applied Sciences …, 2024 - semarakilmu.com.my
Breast cancer is a heterogeneous disease that involves molecular alteration, cellular
alterations, and clinical outcome for which the classification of Breast cancer remains a …

[PDF][PDF] Optimized feature selection and classification in microarray gene expression cancer data

B Lakshmanan, T Jenitha - … Journal of Public Health Research & …, 2020 - researchgate.net
Cancer classification can be performed by Microarray Gene Expression data which
comprises of thousands of genes and small number of samples. Gene expression data is …

[HTML][HTML] Classification of breast cancer using microarray gene expression data: A survey

M Abd-Elnaby, M Alfonse, M Roushdy - Journal of Biomedical Informatics, 2021 - Elsevier
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 …

Pca and dwt based gene selection technique for classification of microarray data

K Nirmalakumari, H Rajaguru… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Classification of cancer is a vital research area in the bioinformatics area. The microarray
technology allows the instantaneous observing of thousands of genes expressions in a …

Optimized gene selection and classification of cancer from microarray gene expression data using deep learning

SH Shah, MJ Iqbal, I Ahmad, S Khan… - Neural Computing and …, 2020 - Springer
Cancer is the major leading reason of death around the world. However, the early
identification and prediction of a cancer type is very critical for patient's health. Recently …