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• W3159020330 abstract "Abstract Background Circadian rhythms regulate several physiological and developmental processes of plants. Hence, the identification of genes with the underlying circadian rhythmic features is pivotal. Though computational methods have been developed for the identification of circadian genes, all these methods are based on gene expression datasets. In other words, we failed to search any sequence-based model, and that motivated us to deploy the present computational method to identify the proteins encoded by the circadian genes. Results Support vector machine (SVM) with seven kernels, i.e., linear, polynomial, radial, sigmoid, hyperbolic, Bessel and Laplace was utilized for prediction by employing compositional, transitional and physico-chemical features. Higher accuracy of 62.48% was achieved with the Laplace kernel, following the fivefold cross- validation approach. The developed model further secured 62.96% accuracy with an independent dataset. The SVM also outperformed other state-of-art machine learning algorithms, i.e., Random Forest, Bagging, AdaBoost, XGBoost and LASSO. We also performed proteome-wide identification of circadian proteins in two cereal crops namely, Oryza sativa and Sorghum bicolor , followed by the functional annotation of the predicted circadian proteins with Gene Ontology (GO) terms. Conclusions To the best of our knowledge, this is the first computational method to identify the circadian genes with the sequence data. Based on the proposed method, we have developed an R-package PredCRG ( https://cran.r-project.org/web/packages/PredCRG/index.html ) for the scientific community for proteome-wide identification of circadian genes. The present study supplements the existing computational methods as well as wet-lab experiments for the recognition of circadian genes." @default.
• W3159020330 created "2021-05-10" @default.
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• W3159020330 date "2021-04-26" @default.
• W3159020330 modified "2023-10-18" @default.
• W3159020330 title "PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel" @default.
• W3159020330 cites W1480577415 @default.
• W3159020330 cites W1491022051 @default.
• W3159020330 cites W1514245537 @default.
• W3159020330 cites W1552563520 @default.
• W3159020330 cites W1566910412 @default.
• W3159020330 cites W1964962659 @default.
• W3159020330 cites W1973265218 @default.
• W3159020330 cites W1977928166 @default.
• W3159020330 cites W1984148780 @default.
• W3159020330 cites W1985600167 @default.
• W3159020330 cites W1987582651 @default.
• W3159020330 cites W1995815904 @default.
• W3159020330 cites W2000671825 @default.
• W3159020330 cites W2002832354 @default.
• W3159020330 cites W2007810702 @default.
• W3159020330 cites W2016579482 @default.
• W3159020330 cites W2017470450 @default.
• W3159020330 cites W2021105899 @default.
• W3159020330 cites W2034728556 @default.
• W3159020330 cites W2038873127 @default.
• W3159020330 cites W2040033996 @default.
• W3159020330 cites W2041517800 @default.
• W3159020330 cites W2041850015 @default.
• W3159020330 cites W2042084565 @default.
• W3159020330 cites W2043338013 @default.
• W3159020330 cites W2044895793 @default.
• W3159020330 cites W2047672715 @default.
• W3159020330 cites W2050726355 @default.
• W3159020330 cites W2056395995 @default.
• W3159020330 cites W2063460482 @default.
• W3159020330 cites W2082484205 @default.
• W3159020330 cites W2083055447 @default.
• W3159020330 cites W2089589190 @default.
• W3159020330 cites W2094453408 @default.
• W3159020330 cites W2097606916 @default.
• W3159020330 cites W2101089197 @default.
• W3159020330 cites W2104266531 @default.
• W3159020330 cites W2104634417 @default.
• W3159020330 cites W2105379349 @default.
• W3159020330 cites W2105515995 @default.
• W3159020330 cites W2108818769 @default.
• W3159020330 cites W2109178760 @default.
• W3159020330 cites W2113493092 @default.
• W3159020330 cites W2115400898 @default.
• W3159020330 cites W2115647754 @default.
• W3159020330 cites W2128397850 @default.
• W3159020330 cites W2132247880 @default.
• W3159020330 cites W2132292391 @default.
• W3159020330 cites W2136081741 @default.
• W3159020330 cites W2139606027 @default.
• W3159020330 cites W2144096509 @default.
• W3159020330 cites W2147192293 @default.
• W3159020330 cites W2149747583 @default.
• W3159020330 cites W2151819650 @default.
• W3159020330 cites W2159913388 @default.
• W3159020330 cites W2167682467 @default.
• W3159020330 cites W2190321267 @default.
• W3159020330 cites W2207354528 @default.
• W3159020330 cites W2272593386 @default.
• W3159020330 cites W2487770199 @default.
• W3159020330 cites W2506768821 @default.
• W3159020330 cites W2592340788 @default.
• W3159020330 cites W2606738526 @default.
• W3159020330 cites W2767960361 @default.
• W3159020330 cites W2769185005 @default.
• W3159020330 cites W2797303008 @default.
• W3159020330 cites W2911964244 @default.
• W3159020330 cites W2917101543 @default.
• W3159020330 cites W2969368107 @default.
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• W3159020330 doi "https://doi.org/10.1186/s13007-021-00744-3" @default.
• W3159020330 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8074503" @default.
• W3159020330 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33902670" @default.
• W3159020330 hasPublicationYear "2021" @default.
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