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10.1016/j.sjbs.2017.11.024 http://scihub22266oqcxt.onion/10.1016/j.sjbs.2017.11.024 C5851940!5851940!29551932     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Saudi+J+Biol+Sci 2017 ; 24 (8): 1828-41 Nephropedia Template TP {{tp|p=29551932|t=2017. An enhanced topologically significant directed random walk in cancer classification using gene expression datasets |pdf=|usr=}}{{29551932}} gab.com Text An enhanced topologically significant directed random walk in cancer classification using gene expression datasets JO: Saudi J Biol Sci http://www.kidney.de/pget.php?&tw=1&pmid=29551932 #FOAvip Microarray technology has become one of the elementary tools for researchers to study the genome of organisms. As the complexity and heterogeneity of cancer is being increasingly appreciated through genomic analysis, cancerous classification is an emerging important trend. Significant directed random walk is proposed as one of the cancerous classification approach which have higher sensitivity of risk gene prediction and higher accuracy of cancer classification. In this paper, the methodology and material used for the experiment are presented. Tuning parameter selection method and weight as parameter are applied in proposed approach. Gene expression dataset is used as the input datasets while pathway dataset is used to build a directed graph, as reference datasets, to complete the bias process in random walk approach. In addition, we demonstrate that our approach can improve sensitive predictions with higher accuracy and biological meaningful classification result. Comparison result takes place between significant directed random walk and directed random walk to show the improvement in term of sensitivity of prediction and accuracy of cancer classification. Twit Text FOAVip An enhanced topologically significant directed random walk in cancer classification using gene expression datasets ????Saudi J Biol Sci http://www.kidney.de/pget.php?&tw=1&pmid=29551932 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29551932 #FOAvip English Wikipedia <ref>{{Cite pmid|29551932}}</ref> An enhanced topologically significant directed random walk in cancer classification using gene expression datasets #MMPMID29551932 Seah CS; Kasim S; Fudzee MFM; Law Tze Ping JM; Mohamad MS; Saedudin RR; Ismail MA Saudi J Biol Sci 2017[Dec]; 24 (8): 1828-41 PMID29551932show ga Microarray technology has become one of the elementary tools for researchers to study the genome of organisms. As the complexity and heterogeneity of cancer is being increasingly appreciated through genomic analysis, cancerous classification is an emerging important trend. Significant directed random walk is proposed as one of the cancerous classification approach which have higher sensitivity of risk gene prediction and higher accuracy of cancer classification. In this paper, the methodology and material used for the experiment are presented. Tuning parameter selection method and weight as parameter are applied in proposed approach. Gene expression dataset is used as the input datasets while pathway dataset is used to build a directed graph, as reference datasets, to complete the bias process in random walk approach. In addition, we demonstrate that our approach can improve sensitive predictions with higher accuracy and biological meaningful classification result. Comparison result takes place between significant directed random walk and directed random walk to show the improvement in term of sensitivity of prediction and accuracy of cancer classification. äAn enhanced topologically significant directed random walk in cancer c(epmc).pdf DeepDyve Pubget Overpricing