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10.1038/nmeth.4236 http://scihub22266oqcxt.onion/10.1038/nmeth.4236 C5410170!5410170!28346451     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Methods 2017 ; 14 (5): 483-6 Nephropedia Template TP {{tp|p=28346451|t=2017. SC3 - consensus clustering of single-cell RNA-Seq data |pdf=|usr=}}{{28346451}} gab.com Text SC3 - consensus clustering of single-cell RNA-Seq data JO: Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=28346451 #FOAvip Single-cell RNA-seq (scRNA-seq) enables a quantitative cell-type characterisation based on global transcriptome profiles. We present Single-Cell Consensus Clustering (SC3), a user-friendly tool for unsupervised clustering which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach. We demonstrate that SC3 is capable of identifying subclones based on the transcriptomes from neoplastic cells collected from patients. Twit Text FOAVip SC3 - consensus clustering of single-cell RNA-Seq data ????Nat Methods http://www.kidney.de/pget.php?&tw=1&pmid=28346451 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28346451 #FOAvip English Wikipedia <ref>{{Cite pmid|28346451}}</ref> SC3 - consensus clustering of single-cell RNA-Seq data #MMPMID28346451 Kiselev VY; Kirschner K; Schaub MT; Andrews T; Yiu A; Chandra T; Natarajan KN; Reik W; Barahona M; Green AR; Hemberg M Nat Methods 2017[May]; 14 (5): 483-6 PMID28346451show ga Single-cell RNA-seq (scRNA-seq) enables a quantitative cell-type characterisation based on global transcriptome profiles. We present Single-Cell Consensus Clustering (SC3), a user-friendly tool for unsupervised clustering which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach. We demonstrate that SC3 is capable of identifying subclones based on the transcriptomes from neoplastic cells collected from patients. äSC3 - consensus clustering of single-cell RNA-Seq data (epmc).pdf DeepDyve Pubget Overpricing