[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 …

[Retracted] Classification and Detection of Mesothelioma Cancer Using Feature Selection‐Enabled Machine Learning Technique

M Shobana, VR Balasraswathi… - BioMed Research …, 2022 - Wiley Online Library
Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (MM), is an
extremely uncommon form of the illness that almost always results in death. Chemotherapy …

A framework model using multifilter feature selection to enhance colon cancer classification

M Al-Rajab, J Lu, Q Xu - Plos one, 2021 - journals.plos.org
Gene expression profiles can be utilized in the diagnosis of critical diseases such as cancer.
The selection of biomarker genes from these profiles is significant and crucial for cancer …

Feature selection method based on mutual information and support vector machine

G Liu, C Yang, S Liu, C **ao, B Song - International Journal of …, 2021 - World Scientific
A feature selection method based on mutual information and support vector machine (SVM)
is proposed in order to eliminate redundant feature and improve classification accuracy …

Microarray data classification using neuro-fuzzy classifier with firefly algorithm

P **thanasatian, S Auephanwiriyakul… - … symposium series on …, 2017 - ieeexplore.ieee.org
Neuro-fuzzy is one of the popular tools used in many applications including microarray
classification. In this paper, we introduce a neuro-fuzzy with firefly algorithm with its …

An Overview on Bioinformatics

Z Lu, Q Xu, M Al-Rajab, L Chiazor - Research Anthology on …, 2024 - igi-global.com
This chapter presents a thorough background and deep literature review of the current topic
of study. It also presents and defines the key concepts utilised throughout this investigation …

A Multi-Classifier Approach on L1-Regulated Features of Microarray Cancer Data

BH Shekar, G Dagnew - 2018 International Conference on …, 2018 - ieeexplore.ieee.org
Analysis of microarray cancer data is a hot research topic across several disciplines to
address the challenges associated with the nature of the data such as small sample size, the …

Unsupervised Techniques for Meta-Analysis of Cancer Genomic Data

S Maheeshanake, M Wijesinghe… - … on Advances in ICT …, 2020 - ieeexplore.ieee.org
Cancers show abnormal cell growth. Cancer cells do not respond to the normal cell division
system and the signaling pathways of the human body. Cancers cannot be treated with the …

Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function

C Arunkumar, S Ramakrishnan, SS Dheeraj - Computational Vision and …, 2018 - Springer
Attribute selection is an important step in the analysis of gene expression for cancer or
illnesses in general. The huge dimensionality of gene expression data that includes many …

[PDF][PDF] A Review of Feature Selection Techniques for Clustering High Dimensional Structured Data

BA Kelkar, SF Rodd - 2016 - scholar.archive.org
Data that resides in a fixed field within a record or file is called structured data and have a
defined schema. Structured data is getting more and more importance in database …