limma

DOI:10.18129 / B9.bioc.limma

这个包是3.13版本Bioconductor;的稳定,最新的发布版本,请参阅limma

微阵列数据的线性模型

Bioconductor版本:3.13

数据分析,微阵列数据的线性模型和微分表达式。

aut作者:戈登·史密斯(cre),易纺胡锦涛(施),马修·里奇(施),杰里米银(施),詹姆斯Wettenhall[所有],戴维斯麦卡锡(施),吴Di(施),魏史(施),贝琳达Phipson[所有]亚伦Lun(施),娜塔莉·索恩(施),艾丽西亚Oshlack[所有],卡罗琳格拉夫(施),陈Yunshun[所有],Mette Langaas[所有],埃吉尔Ferkingstad[所有],马库斯·戴维(施),弗朗索瓦•Pepin[所有]Dongseok崔(施)

维护人员:戈登史密斯<史密斯在wehi.edu.au >

从内部引用(R,回车引用(“limma”)):

安装

安装这个包,开始R(版本“4.1”)并输入:

如果(!requireNamespace (“BiocManager”,悄悄地= TRUE)) install.packages (“BiocManager”) BiocManager::安装(“limma”)

R的旧版本,请参考适当的Bioconductor释放

文档

查看文档的版本这个包安装在您的系统,开始R和输入:

browseVignettes (“limma”)

PDF Limma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,CellBiology,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,MultipleComparison,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,TimeCourse,转录,转录组,TwoChannel,mRNAMicroarray
版本 3.48.3
Bioconductor自 BioC 1.6 (r - 2.1)或更早(> 16.5年)
许可证 GPL (> = 2)
取决于 R (> = 3.6.0)
进口 grDevices、图形、数据、跑龙套、方法
链接
建议 affy,AnnotationDbi,BiasedUrn,Biobase,椭圆,GO.db,gplots,illuminaio,locfit,质量,org.Hs.eg.db样条函数,statmod(> = 1.2.2),vsn
SystemRequirements
增强了
URL http://bioinf.wehi.edu.au/limma
取决于我 AffyExpress,AgiMicroRna,ASpli,BLMA,亚兰,cghMCR,ChimpHumanBrainData,clippda,codelink,转换,Cormotif,德科,DEqMS,DrugVsDisease,刨边机,EGSEA123,ExiMiR,ExpressionAtlas,Fletcher2013a,HD2013SGI,HTqPCR,IsoformSwitchAnalyzeR,maEndToEnd,maigesPack,maPredictDSC,marray,metagenomeSeq,metaseqR2,methylationArrayAnalysis,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,自治,AWFisher,舞会礼服,BatchQC,beadarray,BeadArrayUseCases,biotmle,BloodGen3Module,bnem,bsseq,BubbleTree,bumphunter,CancerMutationAnalysis,CancerSubtypes,卡斯珀,冠军,ChIPComp,clusterExperiment,CNVRanger,coexnet,结合,compcodeR,承认,consensusDE,consensusOV,CountClust,crlmm,CrossICC,crossmeta,csaw,cTRAP,ctsGE,CytoTree,DAMEfinder,DaMiRseq,DAPAR,debrowser,,derfinderPlot,DEsubs,DExMA,DiffBind,diffcyt,diffHic,diffloop,diffUTR,截然不同的,DmelSGI,DMRcate,Doscheda,DRIMSeq,eegc,天哪,EGSEA,eisaR,EnrichmentBrowser,epigraHMM,erccdashboard,逃避,EventPointer,EWCE,ExpHunterSuite,ExploreModelMatrix,ExpressionNormalizationWorkflow,flowBin,gCrisprTools,GDCRNATools,genefu,GeneSelectMMD,GEOquery,Glimma,GOsummaries,GUIDEseq,hipathia,HTqPCR,icetea,iCheck,iChip,iCOBRA,理想的,InPAS,isomiRs,KnowSeq,limmaGUI,Linnorm,lipidr,lmdme,mAPKL,MatrixQCvis,MBQN,mCSEA,,methylKit,MethylMix,microbiomeExplorer,MIGSA,miloR,minfi,miRLAB,missMethyl,MLSeq,moanin,单片眼镜,MoonlightR,msImpute,msqrob2,MSstats,MSstatsTMT,MultiDataSet,马斯喀特,NADfinder,nethet,nondetects,NormalyzerDE,奥林,omicRexposome,oppti,OVESEG,PAA,PADOG,PathoStat,pcaExplorer,PECA,pepStat,phantasus,phenoTest,PhosR,聚酯,POMA,POWSC,projectR,psichomics,pwrEWAS,qPLEXanalyzer,qsea,rCGH,recountWorkflow,RegEnrich,regsplice,ReportingTools,林格,RNAinteract,RNAither,ROSeq,RTCGAToolbox,研制,RTopper,土星,scClassify,司康饼,食物,SEPIRA,seqsetvis,shinyepico,signatureSearchData,SimBindProfiles,SingleCellSignalR,singleCellTK,snapCGH,SPsimSeq,SSPA,STATegRa,股东价值分析,systemPipeR,timecourse,TimeSeriesExperiment,ToPASeq,ToxicoGx,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,BioQC,BloodCancerMultiOmics2017,CAGEWorkflow,类别,categoryCompare,celaref,CellBench,CellMixS,ChIPpeakAnno,ClassifyR,CMA,coGPS,CONSTANd,cydar,dearseq,DEGreport,derfinder,DEScan2,dyebias,easyreporting,,fgsea,鱼池,fluentGenomics,,GeuvadisTranscriptExpr,geva,glmGamPoi,GSRI,GSVA,哈曼,Heatplus,等压线,ivygapSE,莱斯,lionessR,光民,mammaPrintData,桅杆,mdgsa,methylumi,中长期规划,msigdb,npGSEA,益生元,oppar,钢琴,PREDA,proDA,彪马,QFeatures,randRotation,Rcade,recountmethylation,ribosomeProfilingQC,rtracklayer,seventyGeneData,simpleSingleCell,经验丰富的人,subSeq,SummarizedBenchmark,TCGAbiolinks,tidybulk,topconfects,tximeta,tximport,ViSEAGO,zFPKM
我的链接
构建报告

包档案

遵循2021年欧洲杯比分预测 指示在R会话中使用这个包。

源包 limma_3.48.3.tar.gz
Windows二进制 limma_3.48.3.zip
macOS 10.13(高山脉) limma_3.48.3.tgz
源库 git克隆https://git.bioconductor.org/packages/limma
源库(开发人员访问) git克隆git@git.bioconductor.org:包/ limma
包短Url //www.andersvercelli.com/packages/limma/
包下载报告 下载数据

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