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10.1007/s11071-020-05771-8 http://scihub22266oqcxt.onion/10.1007/s11071-020-05771-8 C7335223!7335223!32836811     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nonlinear+Dyn 2020 ; 101 (3): 1731-50 Nephropedia Template TP {{tp|p=32836811|t=2020. Computational analysis of the SARS-CoV-2 and other viruses based on the Kolmogorov?s complexity and Shannon?s information theories |pdf=|usr=}}{{32836811}} gab.com Text Computational analysis of the SARS-CoV-2 and other viruses based on the Kolmogorov s complexity and Shannon s information theories JO: Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32836811 #FOAvip This paper tackles the information of 133 RNA viruses available in public databases under the light of several mathematical and computational tools. First, the formal concepts of distance metrics, Kolmogorov complexity and Shannon information are recalled. Second, the computational tools available presently for tackling and visualizing patterns embedded in datasets, such as the hierarchical clustering and the multidimensional scaling, are discussed. The synergies of the common application of the mathematical and computational resources are then used for exploring the RNA data, cross-evaluating the normalized compression distance, entropy and Jensen?Shannon divergence, versus representations in two and three dimensions. The results of these different perspectives give extra light in what concerns the relations between the distinct RNA viruses. Twit Text FOAVip Computational analysis of the SARS-CoV-2 and other viruses based on the Kolmogorov s complexity and Shannon s information theories ????Nonlinear Dyn http://www.kidney.de/pget.php?&tw=1&pmid=32836811 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32836811 #FOAvip English Wikipedia <ref>{{Cite pmid|32836811}}</ref> Computational analysis of the SARS-CoV-2 and other viruses based on the Kolmogorov?s complexity and Shannon?s information theories #MMPMID32836811 Machado JAT; Rocha-Neves JM; Andrade JP Nonlinear Dyn 2020[]; 101 (3): 1731-50 PMID32836811show ga This paper tackles the information of 133 RNA viruses available in public databases under the light of several mathematical and computational tools. First, the formal concepts of distance metrics, Kolmogorov complexity and Shannon information are recalled. Second, the computational tools available presently for tackling and visualizing patterns embedded in datasets, such as the hierarchical clustering and the multidimensional scaling, are discussed. The synergies of the common application of the mathematical and computational resources are then used for exploring the RNA data, cross-evaluating the normalized compression distance, entropy and Jensen?Shannon divergence, versus representations in two and three dimensions. The results of these different perspectives give extra light in what concerns the relations between the distinct RNA viruses. äComputational analysis of the SARS-CoV-2 and other viruses based on th(epmc).pdf DeepDyve Pubget Overpricing