Enhancing Cancerous Gene Selection and Classification for High-Dimensional Microarray Data Using a Novel Hybrid Filter and Differential Evolutionary Feature Selection

Simple Summary To improve cancer classification performance for high-dimensional microarray datasets, this work proposes combining filter and differential evolutionary (DE) algorithm feature selection techniques. By scoring genes or features of high-dimensional microarray datasets by some common filter methods, we keep only the highest-ranked features and eliminate superfluous and irrelevant ones to decrease the dimensionality of the microarray datasets. Then, the genes or features of the microarray datasets are optimized further by DE, producing noticeably better classification results. This could lead to outstanding improvement in the cancer classification using only less features of the microarray datasets.

• Publication year

  2024

• Venue

  Cancers

• Publication date

  2024-11-22

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.3390/cancers16233913PMID 39682102PMCID 11639765
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Enhancing Non-Small Cell Lung Cancer Survival Prediction through Multi-Omics Integration Using Graph Attention Network

  2024cited by this paper
• Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data—In Pursuit of Precision

  2024cited by this paper
• Dementia Classification Using Deep Reinforcement Learning for Early Diagnosis

  2023cited by this paper
• Feature Selection of Microarray Data Using Simulated Kalman Filter with Mutation

  2023cited by this paper
• Hybrid Filter and Genetic Algorithm-Based Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data

  2023influential reference
• MFRAG: Multi-Fitness RankAggreg Genetic Algorithm for biomarker selection from microarray data

  2022cited by this paper
• Brain Tumor Classification Using Conditional Segmentation with Residual Network and Attention Approach by Extreme Gradient Boost

  2022cited by this paper
• A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis

  2022cited by this paper
• Hybrid feature selection based on SLI and genetic algorithm for microarray datasets

  2022cited by this paper
• A hybrid feature selection method combining Gini index and support vector machine with recursive feature elimination for gene expression classification

  2022influential reference
• A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

  2022cited by this paper
• Ensemble feature selection for stable biomarker identification and cancer classification from microarray expression data

  2022cited by this paper
• Ensemble of Deep Learning Approach for the Feature Selection from High-Dimensional Microarray Data

  2022cited by this paper
• Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram

  2021influential reference
• Feature selection methods on gene expression microarray data for cancer classification: A systematic review

  2021cited by this paper
• Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network.

  2020cited by this paper
• G-Forest: An ensemble method for cost-sensitive feature selection in gene expression microarrays

  2020cited by this paper
• A Fusion-Based Feature Selection Framework for Microarray Data Classification

  2020influential reference
• A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm

  2019cited by this paper
• A Nested Genetic Algorithm for feature selection in high-dimensional cancer Microarray datasets

  2019cited by this paper
• Novel machine learning approach for classification of high-dimensional microarray data

  2019cited by this paper
• Dimensionality Reduction in Gene Expression Data Sets

  2019cited by this paper
• A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

  2019cited by this paper
• CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012-2016.

  2019cited by this paper
• Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation

  2019cited by this paper
• White

  2019cited by this paper
• Differential evolution for filter feature selection based on information theory and feature ranking

  2018cited by this paper
• An Adaptive Harmony Search Approach for Gene Selection and Classification of High Dimensional Medical Data

  2018cited by this paper
• Gene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi Classifiers

  2018influential reference
• Genetic algorithm based cancerous gene identification from microarray data using ensemble of filter methods

  2018cited by this paper
• A hybrid approach of differential evolution and artificial bee colony for feature selection

  2016cited by this paper
• Gene selection using information gain and improved simplified swarm optimization

  2016cited by this paper
• Feature Selection of Gene Expression Data for Cancer Classification: A Review

  2015cited by this paper
• Machine learning, medical diagnosis, and biomedical engineering research - commentary

  2014cited by this paper
• Machine learning applications in cancer prognosis and prediction

  2014cited by this paper
• A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data

  2013cited by this paper
• Feature selection in bioinformatics

  2012cited by this paper
• Data Mining : Concepts and Techniques 3rd edition Ed. 3

  2011cited by this paper
• Algorithms for subsetting attribute values with Relief

  2010cited by this paper
• A review of feature selection techniques in bioinformatics

  2007cited by this paper
• Machine Learning Techniques and Chi-Square Feature Selection for Cancer Classification Using SAGE Gene Expression Profiles

  2006cited by this paper
• Prediction of central nervous system embryonal tumour outcome based on gene expression

  2002cited by this paper
• Gene expression profiling predicts clinical outcome of breast cancer

  2002cited by this paper
• Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

  1997cited by this paper
• Feature Subset Selection: A Correlation Based Filter Approach

  1997cited by this paper

• Improving predictive accuracy in medical datasets using enhanced enzyme action optimizer for feature selection

  2026cites this paper
• Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

  2026cites this paper
• Metaheuristic Optimization of Random Forest for Lung Cancer Prediction

  2026cites this paper
• New Machine Learning Method for Medical Image and Microarray Data Analysis for Heart Disease Classification

  2025cites this paper
• Enhanced cancer prognosis with machine learning-driven feature selection, optimization and classification in high-dimensional data

  2025cites this paper
• Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

  2025influential citation
• Comparative Analysis of Recursive Feature Elimination and Feature Importance for Dimension Reduction in Cancer Prediction

  2025cites this paper