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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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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DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network [PDF]
Frontiers in GeneticsIntroduction: Drug response prediction, especially in terms of cell viability prediction, is a well-studied research problem with significant implications for personalized medicine.
Minwoo Pak +7 more
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A Modified Memetic Algorithm with an Application to Gene Selection in a Sheep Body Weight Study
Animals, 2022 Selecting the minimal best subset out of a huge number of factors for influencing the response is a fundamental and very challenging NP-hard problem because the presence of many redundant genes results in over-fitting easily while missing an important ...
Maoxuan Miao +3 more
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Enhancing Feature Selection Optimization for COVID-19 Microarray Data
COVID, 2023 The utilization of gene selection techniques is crucial when dealing with extensive datasets containing limited cases and numerous genes, as they enhance the learning processes and improve overall outcomes.
Gayani Krishanthi +4 more
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Frontiers in Genetics, 2021 To tackle the challenges in genomic data analysis caused by their tens of thousands of dimensions while having a small number of examples and unbalanced examples between classes, the technique of unsupervised feature selection based on standard deviation
Juanying Xie +5 more
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Frontiers in Genetics, 2021 Cancer subtype identification is important to facilitate cancer diagnosis and select effective treatments. Clustering of cancer patients based on high-dimensional RNA-sequencing data can be used to detect novel subtypes, but only a subset of the features
David Källberg +4 more
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