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10.1146/annurev-statistics-022513-115638 http://scihub22266oqcxt.onion/10.1146/annurev-statistics-022513-115638 C4062304!4062304!24955378     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 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\24955378.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Annu+Rev+Stat+Appl 2014 ; 1 (1): 279-300 Nephropedia Template TP {{tp|p=24955378|t=2014. Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data |pdf=|usr=}}{{24955378}} gab.com Text Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data JO: Annu Rev Stat Appl http://www.kidney.de/pget.php?&tw=1&pmid=24955378 #FOAvip Statistical genetics is undergoing the same transition to big data that all branches of applied statistics are experiencing. With the advent of inexpensive DNA sequencing, the transition is only accelerating. This brief review highlights some modern techniques with recent successes in statistical genetics. These include: (a) lasso penalized regression and association mapping, (b) ethnic admixture estimation, (c) matrix completion for genotype and sequence data, (d) the fused lasso and copy number variation, (e) haplotyping, (f) estimation of relatedness, (g) variance components models, and (h) rare variant testing. For more than a century, genetics has been both a driver and beneficiary of statistical theory and practice. This symbiotic relationship will persist for the foreseeable future. Twit Text FOAVip Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data ????Annu Rev Stat Appl http://www.kidney.de/pget.php?&tw=1&pmid=24955378 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24955378 #FOAvip English Wikipedia <ref>{{Cite pmid|24955378}}</ref> Next Generation Statistical Genetics: Modeling, Penalization, and Optimization in High-Dimensional Data #MMPMID24955378 Lange K; Papp JC; Sinsheimer JS; Sobel EM Annu Rev Stat Appl 2014[Jan]; 1 (1): 279-300 PMID24955378show ga Statistical genetics is undergoing the same transition to big data that all branches of applied statistics are experiencing. With the advent of inexpensive DNA sequencing, the transition is only accelerating. This brief review highlights some modern techniques with recent successes in statistical genetics. These include: (a) lasso penalized regression and association mapping, (b) ethnic admixture estimation, (c) matrix completion for genotype and sequence data, (d) the fused lasso and copy number variation, (e) haplotyping, (f) estimation of relatedness, (g) variance components models, and (h) rare variant testing. For more than a century, genetics has been both a driver and beneficiary of statistical theory and practice. This symbiotic relationship will persist for the foreseeable future. äNext Generation Statistical Genetics: Modeling, Penalization, and Opti(epmc).pdf DeepDyve Pubget Overpricing