WERFE: A Gene Selection Algorithm Based on Recursive Feature Elimination and Ensemble Strategy
Frontiers in Bioengineering and Biotechnology, 2020 Gene selection algorithm in micro-array data classification problem finds a small set of genes which are most informative and distinctive. A well-performed gene selection algorithm should pick a set of genes that achieve high performance and the size of ...
Qi Chen +5 more
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A new hybrid algorithm for three-stage gene selection based on whale optimization. [PDF]
Sci Rep, 2023 In biomedical data mining, the gene dimension is often much larger than the sample size. To solve this problem, we need to use a feature selection algorithm to select feature gene subsets with a strong correlation with phenotype to ensure the accuracy of
Liu J +7 more
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Transforming Cancer Classification: The Role of Advanced Gene Selection. [PDF]
Diagnostics (Basel)Background/Objectives: Accurate classification in cancer research is vital for devising effective treatment strategies. Precise cancer classification depends significantly on selecting the most informative genes from high-dimensional datasets, a task ...
Yaqoob A +3 more
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A Multi-Task Ensemble Strategy for Gene Selection and Cancer Classification [PDF]
BioengineeringGene expression-based tumor classification aims to distinguish tumor types based on gene expression profiles. This task is difficult due to the high dimensionality of gene expression data and limited sample sizes.
Suli Lin +3 more
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Ensemble Algorithm Based on Gene Selection, Data Augmentation, and Boosting Approaches for Ovarian Cancer Classification [PDF]
DiagnosticsBackground: Ovarian cancer is a difficult and lethal illness that requires early detection and precise classification for effective therapy. Microarray technology has permitted the simultaneous assessment of hundreds of genes’ expression levels, yielding
Zne-Jung Lee +3 more
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Hybrid Gene Selection Algorithm for Cancer Classification Using Nuclear Reaction Optimization (NRO) [PDF]
Current Issues in Molecular BiologyMicroarray gene expression data are characterized by high dimensionality and small sample sizes, which complicates cancer classification tasks. To address these challenges, this study proposes a hybrid gene selection approach that integrates a filter ...
Shahad Alkamli, Hala Alshamlan
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Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification [PDF]
DiagnosticsBackground/Objectives: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection.
Shahad Alkamli, Hala Alshamlan
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Frontiers in Genetics, 2020 Gene Expression is the process of determining the physical characteristics of living beings by generating the necessary proteins. Gene Expression takes place in two steps, translation and transcription.
Nivedhitha Mahendran +3 more
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A Hybrid Ensemble Equilibrium Optimizer Gene Selection Algorithm for Microarray Data [PDF]
BiomimeticsAs modern medical technology advances, the utilization of gene expression data has proliferated across diverse domains, particularly in cancer diagnosis and prognosis monitoring. However, gene expression data is often characterized by high dimensionality
Peng Su +4 more
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Mutational Slime Mould Algorithm for Gene Selection [PDF]
Biomedicines, 2022 A large volume of high-dimensional genetic data has been produced in modern medicine and biology fields. Data-driven decision-making is particularly crucial to clinical practice and relevant procedures.
Feng Qiu +7 more
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