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10.1186/s13059-017-1218-y http://scihub22266oqcxt.onion/10.1186/s13059-017-1218-y C5421338!5421338 !28482897     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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28482897 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Genome+Biol 2017 ; 18 (1 ): 84 Nephropedia Template TP {{tp|p=28482897 |t=2017. Challenges and emerging directions in single-cell analysis |pdf=|usr=}}{{28482897 }} gab.com Text Challenges and emerging directions in single-cell analysis JO: Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=28482897 #FOAvip Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities. Twit Text FOAVip Challenges and emerging directions in single-cell analysis ????Genome Biol http://www.kidney.de/pget.php?&tw=1&pmid=28482897 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28482897 #FOAvip English Wikipedia <ref>{{Cite pmid|28482897 }}</ref> Challenges and emerging directions in single-cell analysis #MMPMID28482897 Yuan GC ; Cai L ; Elowitz M ; Enver T ; Fan G ; Guo G ; Irizarry R ; Kharchenko P ; Kim J ; Orkin S ; Quackenbush J ; Saadatpour A ; Schroeder T ; Shivdasani R ; Tirosh I Genome Biol 2017[May]; 18 (1 ): 84 PMID28482897 show ga Single-cell analysis is a rapidly evolving approach to characterize genome-scale molecular information at the individual cell level. Development of single-cell technologies and computational methods has enabled systematic investigation of cellular heterogeneity in a wide range of tissues and cell populations, yielding fresh insights into the composition, dynamics, and regulatory mechanisms of cell states in development and disease. Despite substantial advances, significant challenges remain in the analysis, integration, and interpretation of single-cell omics data. Here, we discuss the state of the field and recent advances and look to future opportunities. |Animals [MESH] |Cell Lineage [MESH] |Gene Expression Profiling/methods [MESH] |Humans [MESH] |Optical Imaging/methods [MESH]Challenges and emerging directions in single-cell analysis (epmc).pdf DeepDyve Pubget Overpricing