limma

DOI:10.18129 / B9.bioc.limma

此包适用于Bioconductor 3.10版本;有关稳定的最新发布版本,请参见limma

微阵列数据的线性模型

Bioconductor版本:3.10

微阵列数据的数据分析,线性模型和微分表达式。

作者:Gordon Smyth [cre,aut],胡一芳[ctb], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb],陈云顺[ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Choi Dongseok [ctb]

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

引文(从R内,输入引用(“limma”)):

安装

要安装这个包,启动R(版本“3.6”)并输入:

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

对于R的旧版本,请参考相应的Bioconductor释放

文档

要查看系统中安装的此包版本的文档,请启动R并输入:

browseVignettes(“limma”)

PDF Limma一页简介
PDF usersguide.pdf
PDF 参考手册
文本 新闻

细节

biocViews AlternativeSplicingBatchEffect贝叶斯BiomedicalInformaticsCellBiologyCheminformatics聚类DataImportDifferentialExpressionDifferentialSplicing表观遗传学ExonArrayFunctionalGenomicsGeneExpressionGeneSetEnrichment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SystemsBiologyTimeCourse转录转录组TwoChannelmRNAMicroarray
版本 3.42.2
在Bioconductor BioC 1.6 (R-2.1)或更早(> 15年)
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 affyAnnotationDbiBiasedUrnBiobase椭圆GO.dbgplotsilluminaiolocfit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
全靠我 a4BaseAffyExpressAgiMicroRnabirtaBLMACALIB亚兰cghMCRChimpHumanBrainDataclippdacodelink转换Cormotif德科DEqMSDrugVsDisease刨边机EGSEA123ExiMiRExpressionAtlas有限元法Fletcher2013agCMAPgenefuHD2013SGIHTqPCRIsoformSwitchAnalyzeRmaEndToEndmaigesPackmaPredictDSCmarraymetagenomeSeqmetaseqRmethylationArrayAnalysisMmPalateMiRNAmpraqpcrNormqusage遏制ReactomeGSA.data林格RNAseq123RnBeadsRnitssplineTimeRSRGnetSSPAtRanslatomeTurboNormvariancePartition西瓜
进口我 ABSSeqaffycoretoolsaffylmGUI意大利苦杏酒anamiR微生物anota2seqArrayExpressarrayQualityarrayQualityMetricsArrayToolsartMSASpediaFIATACseqQC吸引AWFisher舞会礼服BatchQCbeadarrayBeadArrayUseCasesbiotmlebirtebsseqBubbleTreebumphunterCALIBCancerMutationAnalysisCancerSubtypes卡斯珀催化剂冠军ChIPCompChIPpeakAnnoclusterExperimentCNVRangercoexnetcompcodeR承认consensusDEconsensusOVCountClustcrlmmCrossICCcrossmetacsawcTRAPctsGEDaMiRseqDAPARdebrowserderfinderPlotDEsubsDiffBinddiffcytdiffHicdiffloopDmelSGIDMRcateDoschedaDRIMSeqEBSEAeegc天哪EGSEAEnrichmentBrowsererccdashboardEventPointerexploraseExpressionNormalizationWorkflowflowBinflowSpygCrisprToolsGDCRNAToolsGeneSelectMMDGEOqueryGGBaseGOsummariesgQTLstatsGUIDEseqhipathiaHTqPCRiceteaiCheckiChipiCOBRA理想的InPASisomiRsKnowSeqlimmaGUILinnormlipidrlmdmeLVSmiRNAmAPKLMBQNmCSEAmethylKitMethylMixmethyvimMIGSAminfimiRLABmissMethylMLSeqMmPalateMiRNA单片眼镜MoonlightRMSstatsMSstatsTMTMultiDataSet马斯喀特NADfindernemnethetnondetectsNormalyzerDEOGSA奥林omicRexposomeopptiOVESEGPAAPADOGPathoStatpcaExplorerPECApepStatphantasusphenoTest聚酯projectRpsichomicspwrEWASqPLEXanalyzerqsearCGHrecountWorkflowregspliceReportingTools林格RNAinteractRNAitherRTCGAToolbox研制RTopper司康饼食物SEPIRAseqsetvissigaRsignatureSearchDataSimBindProfilessingleCellTKsnapCGHSTATegRa股东价值分析SVAPLSseqsystemPipeRTCGAbiolinkstimecourseTimeSeriesExperimentToPASeq泛太平洋伙伴关系transcriptogramerTVTBtweeDEseqvsn扳手山药
建议我 ABarrayADaCGH2数组beadarraySNPbiobroomBiocCaseStudiesBiocSet生命网络BloodCancerMultiOmics2017CAGEWorkflow类别categoryComparecelarefCellBenchCellMixSClassifyRCMAcoGPScydarDEGreportderfinderDEScan2dyebiasfgseaGeuvadisTranscriptExprGlimmaGSRIGSVA哈曼Heatplus等压线ivygapSE莱斯lionessR光民mammaPrintData桅杆mdgsamethylumi中长期规划npGSEA益生元opparpaxtoolsrPGSEA钢琴plwPREDAproDA彪马RcadeRTopperrtracklayerseventyGeneDatasimpleSingleCell经验丰富的人subSeqSummarizedBenchmarktopconfectstximetatximportViSEAGOzFPKM
链接到我
构建报告

包档案

遵循2021年欧洲杯比分预测 在R会话中使用此包的说明。

源包 limma_3.42.2.tar.gz
Windows二进制 limma_3.42.2.zip
Mac OS X 10.11 (El Capitan) limma_3.42.2.tgz
源库 Git克隆https://git.bioconductor.org/packages/limma
源存储库(开发人员访问) Git克隆git@git.bioconductor.org:packages/limma
包短Url //www.andersvercelli.com/packages/limma/
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