limma

DOI:10.18129 / B9.bioc.limma

微阵列数据的线性模型

Biocometiond版本:释放(3.12)

微阵列数据的数据分析、线性模型和差异表达。

作者:Gordon Smyth [Cre,Aut],Yifang Hu [CTB],Matthew Ritchie [CTB],Jeremy Silver [CTB],James Wettenhall [CTB],Davis McCarthy [CTB],Di Wu [CTB],Wei Shi [CTB],Belinda Phiveon [CTB],Aaron Lun [CTB],Natalie Thorne [CTB],Alicia Oshlack [CTB],Carolyn de Graf [CTB],Yunshun Chen [CTB],Mette Langaas [CTB],Egil Ferkingstad [CTB],Marcus Davy [CTB],Francois Pepin [CTB],Dongseok Choi [CTB]

维护者:Gordon Smyth < Smyth at wehi.edu.au>

引用(从R中,输入引用(“limma”)):

安装

要安装此软件包,请启动R(版本“4.0”)并输入:

如果(!require ("BiocManager", quiet = TRUE)) install.packages("BiocManager") BiocManager::install("limma")

对于旧版本的R,请参阅适当的Bioconductor释放

文档

要查看系统中安装的这个包的版本文档,启动R并输入:

browseVignettes(“limma”)

PDF 一页介绍
PDF usersguide.pdf
PDF 参考手册
文本 新闻

细节

biocViews AlternativeSplicing,batcheffect.,贝叶斯,BiomedicalInformatics,细胞生物学,Cheminformatics,聚类,DataImport,DifferentialExpression,DifferentialSplicing,表观遗传学,ExonArray,FunctionalGenomics,GeneExpression,GeneSetEnrichment,遗传学,ImmunoOncology,代谢组学,MicroRNAArray,微阵列,多匹匹莫森,归一化,OneChannel,预处理,ProprietaryPlatforms,蛋白质组学,质量控制,RNASeq,回归,测序,软件,SystemsBiology,时间课程,转录,转录组,TwoChannel,mRNAMicroarray
版本 3.46.0
Bioconductor自 BIOC 1.6(R-2.1)或更早版本(> 15.5岁)
许可证 GPL (> = 2)
取决于 R (> = 3.6.0)
进口 grDevices,图形,统计,utils,方法
链接
建议 敬服,AnnotationDbi,百瑞德,BioBase.,椭圆,go.db.,gplots,illuminaio,locfit,质量,org.Hs.eg.db样条函数,statmod(> = 1.2.2),vsn
系统要求
增强了
URL http://bioinf.wehi.edu.au/limma
取决于我 AffyExpress,AgiMicroRna,Aspli.,布尔玛,亚兰,cghMCR,chimphumanbraindata.,clippda,Codelink.,转换,Cormotif,德科,DEqMS,DrugVsDisease,edger.,EGSEA123,ExiMiR,表达式,Fletcher2013a,Genefu.,HD2013SGI.,HTqPCR,IsoformSwitchAnalyzeR,maEndToEnd,maigesPack,mapredictdsc.,marray,MetagenomeSQ.,metaseqR,metaseqR2,methylationArrayAnalysis,MmPalateMiRNA,MPRA.,qpcrNorm,qusage,遏制,ReactomeGSA.data,林格,RNASEQ123,RnBeads,Rnits,splineTimeR,SRGnet,烤面包,tRanslatome,TurboNorm,variancePartition,西瓜
进口我 a4Base,ABSSeq,affycoretools,affylmGUI,意大利苦杏酒,微生物,anota2seq,ArrayExpress,arrayQuality,arrayQualityMetrics,ArrayTools,artMS,ASpediaFI,ATACseqQC,吸引,AWFisher,舞会礼服,BatchQC,beadarray,BeadArrayUseCases,biotmle,BSSeq.,BubbleTree,Bumphunter.,CancerMutationAnalysis,CancerSubtypes,卡斯珀,冠军,ChIPComp,clusterExperiment,cnvranger.,coexnet.,结合,compcodeR,承认,共识,consensusOV,countblust.,crlmm,CrossICC,crossmeta,csaw,Ctrap.,CTSGE.,CytoTree,DAMEfinder,DaMiRseq,DAPAR,debrowser,,derfinderPlot,DEsubs,DiffBind,diffcyt,Diffhic.,diffloop,不同,dmelsgi.,DMRcate,Doscheda,DRIMSeq,eegc,天哪,EGSEA.,eisaR,EnrichmentBrowser,erccdashboard,逃避,EventPointer,explorase,ExploreModelMatrix,ExpressionNormalizationWorkflow,flowBin,fl,gCrisprTools,GDCRNATools,geneselectmmd.,GEOquery,GGBase,光明,GOsummaries,gQTLstats,GUIDEseq,hipathia,HTqPCR,icetea,iCheck,iChip,iCOBRA,理想的,InPAS,Isomirs.,KnowSeq,Limmagui.,Linnorm,lipidr,lmdme,mAPKL,MBQN,mCSEA,膳食,methylKit,MethylMix,methyvim,microbiomeExplorer,MIGSA,minfi,miRLAB,missMethyl,MLSeq,MmPalateMiRNA,单片眼镜,moonlightr.,msImpute,MSSTATS.,MSstatsTMT,多atAdataset.,马斯喀特,NADfinder,nethet,nondetects,armanalyzerde.,OGSA,奥林,omicRexposome,OPPTI.,oveseg.,PAA,PADOG,实证,pcaExplorer,PECA,pepStat,phantasus,现象,PhosR,聚酯,p,projectR,psichomics,pwrEWAS,qPLEXanalyzer,qsea,rCGH,recountWorkflow,RegEnrich,regsplice,ReportingTools,林格,RNAinteract,RNAither,ROSeq,RTCGAToolbox,研制,RTopper,scClassify,司康饼,食物,SEPIRA,seqsetvis.,sigaR,signatureSearchData,SimBindProfiles,SingleCellSignalR,singleCellTK,snapCGH,SPsimSeq,SSPA,议案,股东价值分析,SVAPLSseq,systemPipeR,时间课程,TimeSeriesexperiment.,Topaseq.,毒素,泛太平洋伙伴关系,TPP2D,transcriptogramer,TVTB,tweeDEseq,vsn,Weitrix.,扳手,山药,
建议我 ABarray,ADaCGH2,数组,beadarraysnp.,biobroom,Bioccasestudies.,BiocSet,生命网络,BloodCancerMultiOmics2017,CageWorkflow.,类别,categoryCompare,celaref,蜂窝状,cellmixs.,ChIPpeakAnno,ClassifyR,CMA,coGPS,cydar,dearseq,DEGreport,derfinder,DEScan2,dyebias,easyreporting,,fgsea,fluentGenomics,,GeuvadisTranscriptExpr,glmgampoi.,GSRI,GSVA,哈曼,Heatplus,等压线,凡隘泻,莱斯,lionessR,光民,mammaPrintData,桅杆,mdgsa,弥撒,中长期规划,npGSEA,益生元,oppar,PGSEA,钢琴,PREDA,proDA,彪马,qfeatures.,randRotation,Rcade,彻底甲基化,RibosomeProfiling QC,RTopper,rtracklayer.,seventyGeneData,SimpleSingleCell.,stager.,潜艇,SummarizedBenchmark,TCGAbiolinks,tidybulk,TopConfects.,tximeta,tximport,毕验法,zFPKM
链接给我
构建报告

包档案

遵循安装在你的R会话中使用这个包的说明。

源包 limma_3.46.0.tar.gz
Windows二进制 limma_3.46.0.zip.(32位和64位)
macOS 10.13 (High Sierra) limma_3.46.0.tgz
源库 git克隆https://git.bioconductor.org/packages/limma
源存储库(开发人员访问) git clone git@git.biocondudard.org:包装/利马
包短Url //www.andersvercelli.com/packages/limma/
包下载报告 下载数据

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