Article

Cancer Classification through Gene Selection Using the Social Spider Optimization Algorithm

2025-07-24

Abstract excerpt

<title>Abstract</title> <p>Cancer is a leading cause of global mortality, underscoring the need for advanced diagnostic tools to enable early and accurate detection. Microarray technology allows for the simultaneous analysis of thousands of genes, offering valuable insights into cancer biology. However, the high dimensionality of microarray data presents significant challenges for classification tasks. In this st...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4bb4ff96-d053-5b22-ba90-9bad825c5d49
DOI: 10.21203/rs.3.rs-7136532/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Cancer Classification through Gene Selection Using the Social Spider Optimization AlgorithmDOI 10.21203/rs.3.rs-7136532/v1Read

A prize-collecting Steiner tree application for signature selection to stratify diffuse large B-cell lymphoma subtypesSemantic proximity Read

A Novel Framework to Classify Cancer through a Consecutive Utilization of Hybrid Feature Selection and Deep LearningSemantic proximity Read

Improving feature selection performance for classification of gene expression data using Harris Hawks optimizer with variable neighborhood learning.Semantic proximity Read

Metaheuristic Model of Gene Selection for Deep Learning Early Prediction of Cancer Disease Using Gene Expression DataSemantic proximity Read

Genes expression Dimensions reduction for Cancer classification based on optimized deep neural network with Giza pyramid constructionSemantic proximity Read

Semi-Supervised Maximum Discriminative Local Margin for Gene Selection.Semantic proximity Read

Use of relevancy and complementary information for discriminatory gene selection from high-dimensional cancer dataSemantic proximity Read

BCOOT-Based Binary Optimization for Microarray-Based Cancer Gene Selection and Classification: A Comparative StudySemantic proximity Read

Robust and stable gene selection via Maximum-Minimum Correntropy Criterion.Semantic proximity Read

Feature Subset Selection for Cancer Classification Using Weight Local Modularity.Semantic proximity Read

New gene selection method for classification of cancer subtypes considering within-class variation.Semantic proximity Read

Use of relevancy and complementary information for discriminatory gene selection from high-dimensional gene expression data.Semantic proximity Read