Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1038/s41598-018-29146-7 http://scihub22266oqcxt.onion/10.1038/s41598-018-29146-7 C6048151!6048151!30013095     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2018 ; 8 (ä): ä Nephropedia Template TP {{tp|p=30013095|t=2018. A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression |pdf=|usr=}}{{30013095}} gab.com Text A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=30013095 #FOAvip The study of miRNAs and their roles as non-invasive biomarkers has been intensely conducted in cancer diseases over the past decade. Various platforms, ranging from conventional qPCRs to Next Generation Sequencers (NGS), have been widely used to analyze miRNA expression. Here we introduced a novel platform, PanelChip? Analysis System, which provides a sensitive solution for the analysis of miRNA levels in blood. After conducting miRQC analysis, the system?s analytical performance compared favorably against similar nanoscale qPCR-based array technologies. Because PanelChip? requires only a minimal amount of miRNA for analysis, we used it to screen for potential diagnostic biomarkers in the plasma of patients with oral cavity squamous cell carcinoma (OSCC). Combining the platform with a machine learning algorithm, we were able to discover miRNA expression patterns capable of separating healthy subjects from patients with OSCC. Twit Text FOAVip A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=30013095 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30013095 #FOAvip English Wikipedia <ref>{{Cite pmid|30013095}}</ref> A Novel Multi-Gene Detection Platform for the Analysis of miRNA Expression #MMPMID30013095 Hsieh CH; Chen WM; Hsieh YS; Fan YC; Yang PE; Kang ST; Liao CT Sci Rep 2018[]; 8 (ä): ä PMID30013095show ga The study of miRNAs and their roles as non-invasive biomarkers has been intensely conducted in cancer diseases over the past decade. Various platforms, ranging from conventional qPCRs to Next Generation Sequencers (NGS), have been widely used to analyze miRNA expression. Here we introduced a novel platform, PanelChip? Analysis System, which provides a sensitive solution for the analysis of miRNA levels in blood. After conducting miRQC analysis, the system?s analytical performance compared favorably against similar nanoscale qPCR-based array technologies. Because PanelChip? requires only a minimal amount of miRNA for analysis, we used it to screen for potential diagnostic biomarkers in the plasma of patients with oral cavity squamous cell carcinoma (OSCC). Combining the platform with a machine learning algorithm, we were able to discover miRNA expression patterns capable of separating healthy subjects from patients with OSCC. äA Novel Multi-Gene Detection Platform for the Analysis of miRNA Expres(epmc).pdf DeepDyve Pubget Overpricing