LEADER 00955nam0-2200301---450- 001 990008247580403321 005 20051219121506.0 035 $a000824758 035 $aFED01000824758 035 $a(Aleph)000824758FED01 035 $a000824758 100 $a20051219d1996----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $aa-------001yy 200 1 $a<>florovivaismo nel Lazio$eindividuazione e analisi delle aree funzionali nel sistema geo-agrario regionale$fMaria Cristina Cardillo 210 $aRoma$cUniversitą La Sapienza$d1996 215 $a53 p.$cill.$d24 cm 225 1 $aSemestrale di studi e ricerche di Geografia 610 0 $aLazio$aFloricoltura 700 1$aCardillo,$bMaria Cristina$0417085 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008247580403321 952 $aPer.it. 043(96,2)$bI.G. 1777$fILFGE 959 $aILFGE 996 $aFlorovivaismo nel Lazio$9742683 997 $aUNINA LEADER 01121nam 2200397 450 001 9910163117303321 005 20230808201451.0 010 $a3-9818156-2-9 035 $a(CKB)3710000001045573 035 $a(MiAaPQ)EBC4761744 035 $a(EXLCZ)993710000001045573 100 $a20180207h20162016 uy 0 101 0 $ager 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aWas soll ich tun? $eeine Geschichte der Beratung /$fHaiko Wandhoff 210 1$aHamburg, [Germany] :$cCorlin Verlag,$d2016. 210 4$d©2016 215 $a1 online resource (228 pages) 311 $a3-9818156-1-0 320 $aIncludes bibliographical references. 606 $aCounseling$xHistory 606 $aPersonal coaching$xHistory 615 0$aCounseling$xHistory. 615 0$aPersonal coaching$xHistory. 676 $a616.891409 700 $aWandhoff$b Haiko$0496640 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910163117303321 996 $aWas soll ich tun$93410976 997 $aUNINA LEADER 03334nam 22005655 450 001 9910300110903321 005 20250609112051.0 010 $a981-13-1534-5 024 7 $a10.1007/978-981-13-1534-3 035 $a(CKB)4100000006999490 035 $a(MiAaPQ)EBC5543530 035 $a(DE-He213)978-981-13-1534-3 035 $a(PPN)231458630 035 $a(MiAaPQ)EBC6220631 035 $a(EXLCZ)994100000006999490 100 $a20181006d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistical Analysis of Microbiome Data with R /$fby Yinglin Xia, Jun Sun, Ding-Geng Chen 205 $a1st ed. 2018. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2018. 215 $a1 online resource (518 pages) 225 1 $aICSA Book Series in Statistics,$x2199-0999 311 08$a981-13-1533-7 327 $aChapter 1: Introduction to R, RStudio and ggplot2 -- Chapter 2: What are Microbiome Data? -- Chapter 3: Bioinformatic and Statistical Analyses of Microbiome Data -- Chapter 4: Power and Sample Size Calculation in Hypothesis Testing Microbiome Data -- Chapter 5: Microbiome Data Management -- Chapter 6: Exploratory Analysis of Microbiome Data -- Chapter 7: Comparisons of Diversities, OTUs and Taxa among Groups -- Chapter 8: Community Composition Study -- Chapter 9: Modeling Over-dispersed Microbiome Data -- Chapter 10: Linear Regression Modeling metadata -- Chapter 11: Modeling Zero-Inflated Microbiome Data. 330 $aThis unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors? research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research. The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research. 410 0$aICSA Book Series in Statistics,$x2199-0999 606 $aMathematical statistics$xData processing 606 $aBiometry 606 $aBig data 606 $aStatistics and Computing 606 $aBiostatistics 606 $aBig Data 615 0$aMathematical statistics$xData processing. 615 0$aBiometry. 615 0$aBig data. 615 14$aStatistics and Computing. 615 24$aBiostatistics. 615 24$aBig Data. 676 $a579.16 700 $aXia$b Yinglin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767992 702 $aSun$b Jun$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aChen$b Ding-Geng$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300110903321 996 $aStatistical Analysis of Microbiome Data with R$92182078 997 $aUNINA