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An algorithm evaluation for discovering classification rules with gene expression programming [PDF]
International Journal of Computational Intelligence Systems, 2016 In recent years, evolutionary algorithms have been used for classification tasks. However, only a limited number of comparisons exist between classification genetic rule-based systems and gene expression programming rule-based systems.
Alain Guerrero-Enamorado +3 more
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Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging [PDF]
Energies, 2020 Aging is known to exert various non-uniform effects on photovoltaic (PV) modules within a PV array that consequently can result in non-uniform operational parameters affecting the individual PV modules, leading to a variable power output of the overall ...
Mohammed Alkahtani +5 more
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Boosting the concordance index for survival data--a unified framework to derive and evaluate biomarker combinations. [PDF]
PLoS ONE, 2014 The development of molecular signatures for the prediction of time-to-event outcomes is a methodologically challenging task in bioinformatics and biostatistics.
Andreas Mayr, Matthias Schmid
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Informatics in Medicine Unlocked, 2017 Cancer classification is an important problem in cancer diagnosis and treatment. One of the most effective methods in cancer classification is gene selection.
Habib Motieghader +3 more
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IEEE Access, 2021 There are several non-uniform effects on photovoltaic (PV) modules related to aging in a PV array. These subsequently bring about non-uniform operating parameters with individual PV modules, causing a variance in the PV array performance.
Mohammed Alkahtani +5 more
doaj +1 more source
Evaluating the reproducibility of single-cell gene regulatory network inference algorithms [PDF]
Frontiers in Genetics, 2020 Abstract Networks are powerful tools to represent and investigate biological systems. The development of algorithms inferring regulatory interactions from functional genomics data has been an active area of research. With the advent of single-cell RNA-seq data (scRNA-seq), numerous methods specifically designed to take advantage of ...
Yoonjee Kang +2 more
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Evaluation of clustering algorithms for gene expression data [PDF]
BMC Bioinformatics, 2006 Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped together according to their expression profiles using one of numerous clustering algorithms that exist in the statistics and machine learning literature.
Datta Somnath, Datta Susmita
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Review and assessment of Boolean approaches for inference of gene regulatory networks
Heliyon, 2022 Boolean descriptions of gene regulatory networks can provide an insight into interactions between genes. Boolean networks hold predictive power, are easy to understand, and can be used to simulate the observed networks in different scenarios.We review ...
Žiga Pušnik +3 more
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Energies, 2020 Over the past few years, electricity demand has been on the rise. This has resulted in renewable energy resources being used rapidly, considering the shortage as well as the environmental impacts of fossil fuel.
Mohammed Alkahtani +6 more
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A new hybrid algorithm for three-stage gene selection based on whale optimization
Scientific Reports, 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
Junjian Liu +7 more
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