Results 1 to 10 of about 1,986,261 (302)
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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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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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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TGMI: an efficient algorithm for identifying pathway regulators through evaluation of triple-gene mutual interaction [PDF]
Nucleic Acids Research, 2018 Despite their important roles, the regulators for most metabolic pathways and biological processes remain elusive. Presently, the methods for identifying metabolic pathway and biological process regulators are intensively sought after.
C. Gunasekara +4 more
semanticscholar +3 more sources
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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Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels. [PDF]
Asian Pacific Journal of Cancer Prevention, 2016 BACKGROUND Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality.
M. D. Podolsky +5 more
semanticscholar +3 more sources
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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Evaluation of clustering algorithms for gene expression data [PDF]
BMC Bioinformatics, 2006 BackgroundCluster 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 ...
S. Datta, S. Datta
semanticscholar +4 more sources
Genomics Data, 2015 Microarray technology allows simultaneous measurement of the expression levels of thousands of genes within a biological tissue sample. The fundamental power of microarrays lies within the ability to conduct parallel surveys of gene expression using ...
D. Ramyachitra, M. Sofia, P. Manikandan
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Journal of Computational and Theoretical Nanoscience, 2005 In microarray data analysis, clustering is a method that groups thousands of genes by their similarities of expression levels, helping to analyze gene expression profiles. This method has been used for identifying unknown functions of genes. The fuzzy clustering method assigns one sample to multiple groups according to their degrees of membership. This
Han-Saem Park, Si-Ho Yoo, Sung-Bae Cho
semanticscholar +2 more sources