Nothing
R/F0100.R
In iCellR: Analyzing High-Throughput Single Cell Sequencing Data
utils::globalVariables(c("%>%",
"..p.format..",
"xend",
"x",
"y",
"AlignSubspace",
"CaseMatch",
"CreateSeuratObject",
"FindVariableGenes",
"Freq",
"Mito.UMIs",
"MyLev",
"NormalizeData",
"PCs",
"RunCCA",
"S.phase.probability",
"SDs",
"ScaleData",
"SetAllIdent",
"StashIdent",
"UMIs",
"Var1",
"baseMean",
"cdr3",
"cell",
"cells",
"chain",
"clusters",
"color",
"conditions",
"distance",
"event_data",
"g2m.phase",
"g2m.phase.probability",
"gene",
"gene.filter",
"genes",
"immgen.rna",
"immgen.uli.rna",
"demo.obj",
"my.vdj",
"lfc",
"log2FoldChange",
"magic",
"mito.percent",
"mouse.cell.atlas",
"my.vdj.chain",
"nGenes",
"numberOfCells",
"padj",
"phate",
"plotlyOutput",
"productive",
"pval",
"pvalue",
"raw_clonotype_id",
"renderPlotly",
"s.phase",
"scale_size",
"unit",
"cell.barcodes",
"Expression",
"Conditions",
"col.legend.bin",
"Clusters",
"Rphenograph",
"membership",
"SerialParam",
"SingleCellExperiment",
"computeSumFactors",
"normalize",
"out",
"DefaultAssay<-",
"IntegrateData",
"FindIntegrationAnchors",
"FindVariableFeatures",
"DiffusionMap",
"SCTransform",
"Norm.Freq",
"SelectIntegrationFeatures",
"PrepSCTIntegration",
"Phase",
"percentage",
"Immgen.microarray.GSE37448.189",
"Immgen.microarray.GSE15907.653",
"Immgen.GSE124829.190",
"Immgen.GSE122597.83",
"Immgen.GSE122108.412",
"Immgen.GSE109125.205",
"yend",
"gg_color_hue",
"hcl",
"V",
"CellIds",
"V<-",
"AddModuleScoreme",
"genes.list",
"annotate",
"wilcox.test",
"gsva",
"V5",
"V6",
"AvExpInOtherClusters",
"X1",
"X2",
"X3"))
#########
# F001.load10x.R | F001.R
# F002.data.aggregation.R | F002.R
# F003.make.obj.R | F003.R
# F044.myclass.R | F0044.R
# F004.qc.stats.R | F004.R
# F005.stats.plot.R | F005.R
# F006.cell.filter.R | F006.R
# F007.down.sample.R | F007.R
# F008.norm.data.R | F008.R
# F009.data.scale.R | F009.R
# F010.gene.stats.R | F0010.R
# F011.make.gene.model.R | F0011.R
# F012.run.pca.R | F0012.R
# F013.opt.pcs.plot.R | F0013.R
# F014.find.dim.genes.R | F0014.R
# F015.run.clustering.R | F0015.R
# F016.clust.cond.info.R | F0016.R
# F017.run.pc.tsne.R | F0017.R
# F018.run.umap.R | F0018.R
# F019.run.diffusion.map.R | F0019.R
# F020.cluster.plot.R | F0020.R
# F021.clust.avg.exp.R | F0021.R
# F022.run.imput.R | F0022.R
# F023.cell.gating.R | F0023.R
# F024.gate.to.clust.R | F0024.R
# F025.change.clust.R | F0025.R
# F026.clust.rm.R | F0026.R
# F027.clust.stats.plot.R | F0027.R
# F028.findMarkers.R | F0028.R
# F029.top.markers.R | F0029.R
# F030.heatmap.gg.plot.R | F0030.R
# F031.gene.plot.R | F0031.R
# F032.pseudotime.tree.R | F0032.R
# F033.cell.type.pred.R | F0033.R
# F034.diff.exp.R | F0034.R
# F035.volcano.ma.plot.R | F0035.R
# F036.add.adt.R | F0036.R
# F037.norm.adt.R | F0037.R
# F038.adt.rna.merge.R | F0038.R
# F039.prep.vdj.R | F0039.R
# F040.add.vdj.R | F0040.R
# F041.clono.plot.R | F0041.R
# F042vdj.stats.R | F0042.R
# F043.run.tsne.R | F0043.R
# F045.cc.R | F0045.R
# RcppExports.R | F0046.R
# Rphenograph.R | F0047.R
# abstract.graph.R | F0048.R
# cell.cycle.R | F0049.R
# clust.ord.R | F0050.R
# data.Sphase.R | F0051.R
# make.bed.R | F0052.R (Used to be data.demo.obj.R | F0052.R)
# data.g2m.R | F0053.R
# findKNN.R | F0054.R
# gg.cor.R | F0055.R
# globalVariables.R | F0056.R
# hto.anno.R | F0057.R
# run.knetl.R | F0058.R
# iba.R | F0059.R
# iclust.R | F0060.R
# k.myImp.R | F0061.R
# k.pseudotime.R | F0062.R
# k.run.cca.R | F0063.R
# load.h5.R | F0064.R
# run.anchor.R | F0065.R
# run.mnn.R | F0066.R
# run.phenograph.r | F0067.R
# image.capture.10x.R | F0068.R
# add.10x.image.R | F0069.R
# spatial.plot.R | F0070.R
# i.score.R | F0071.R
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iCellR documentation built on Oct. 9, 2021, 5:07 p.m.
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
utils::globalVariables(c("%>%",
"..p.format..",
"xend",
"x",
"y",
"AlignSubspace",
"CaseMatch",
"CreateSeuratObject",
"FindVariableGenes",
"Freq",
"Mito.UMIs",
"MyLev",
"NormalizeData",
"PCs",
"RunCCA",
"S.phase.probability",
"SDs",
"ScaleData",
"SetAllIdent",
"StashIdent",
"UMIs",
"Var1",
"baseMean",
"cdr3",
"cell",
"cells",
"chain",
"clusters",
"color",
"conditions",
"distance",
"event_data",
"g2m.phase",
"g2m.phase.probability",
"gene",
"gene.filter",
"genes",
"immgen.rna",
"immgen.uli.rna",
"demo.obj",
"my.vdj",
"lfc",
"log2FoldChange",
"magic",
"mito.percent",
"mouse.cell.atlas",
"my.vdj.chain",
"nGenes",
"numberOfCells",
"padj",
"phate",
"plotlyOutput",
"productive",
"pval",
"pvalue",
"raw_clonotype_id",
"renderPlotly",
"s.phase",
"scale_size",
"unit",
"cell.barcodes",
"Expression",
"Conditions",
"col.legend.bin",
"Clusters",
"Rphenograph",
"membership",
"SerialParam",
"SingleCellExperiment",
"computeSumFactors",
"normalize",
"out",
"DefaultAssay<-",
"IntegrateData",
"FindIntegrationAnchors",
"FindVariableFeatures",
"DiffusionMap",
"SCTransform",
"Norm.Freq",
"SelectIntegrationFeatures",
"PrepSCTIntegration",
"Phase",
"percentage",
"Immgen.microarray.GSE37448.189",
"Immgen.microarray.GSE15907.653",
"Immgen.GSE124829.190",
"Immgen.GSE122597.83",
"Immgen.GSE122108.412",
"Immgen.GSE109125.205",
"yend",
"gg_color_hue",
"hcl",
"V",
"CellIds",
"V<-",
"AddModuleScoreme",
"genes.list",
"annotate",
"wilcox.test",
"gsva",
"V5",
"V6",
"AvExpInOtherClusters",
"X1",
"X2",
"X3"))
#########
# F001.load10x.R | F001.R
# F002.data.aggregation.R | F002.R
# F003.make.obj.R | F003.R
# F044.myclass.R | F0044.R
# F004.qc.stats.R | F004.R
# F005.stats.plot.R | F005.R
# F006.cell.filter.R | F006.R
# F007.down.sample.R | F007.R
# F008.norm.data.R | F008.R
# F009.data.scale.R | F009.R
# F010.gene.stats.R | F0010.R
# F011.make.gene.model.R | F0011.R
# F012.run.pca.R | F0012.R
# F013.opt.pcs.plot.R | F0013.R
# F014.find.dim.genes.R | F0014.R
# F015.run.clustering.R | F0015.R
# F016.clust.cond.info.R | F0016.R
# F017.run.pc.tsne.R | F0017.R
# F018.run.umap.R | F0018.R
# F019.run.diffusion.map.R | F0019.R
# F020.cluster.plot.R | F0020.R
# F021.clust.avg.exp.R | F0021.R
# F022.run.imput.R | F0022.R
# F023.cell.gating.R | F0023.R
# F024.gate.to.clust.R | F0024.R
# F025.change.clust.R | F0025.R
# F026.clust.rm.R | F0026.R
# F027.clust.stats.plot.R | F0027.R
# F028.findMarkers.R | F0028.R
# F029.top.markers.R | F0029.R
# F030.heatmap.gg.plot.R | F0030.R
# F031.gene.plot.R | F0031.R
# F032.pseudotime.tree.R | F0032.R
# F033.cell.type.pred.R | F0033.R
# F034.diff.exp.R | F0034.R
# F035.volcano.ma.plot.R | F0035.R
# F036.add.adt.R | F0036.R
# F037.norm.adt.R | F0037.R
# F038.adt.rna.merge.R | F0038.R
# F039.prep.vdj.R | F0039.R
# F040.add.vdj.R | F0040.R
# F041.clono.plot.R | F0041.R
# F042vdj.stats.R | F0042.R
# F043.run.tsne.R | F0043.R
# F045.cc.R | F0045.R
# RcppExports.R | F0046.R
# Rphenograph.R | F0047.R
# abstract.graph.R | F0048.R
# cell.cycle.R | F0049.R
# clust.ord.R | F0050.R
# data.Sphase.R | F0051.R
# make.bed.R | F0052.R (Used to be data.demo.obj.R | F0052.R)
# data.g2m.R | F0053.R
# findKNN.R | F0054.R
# gg.cor.R | F0055.R
# globalVariables.R | F0056.R
# hto.anno.R | F0057.R
# run.knetl.R | F0058.R
# iba.R | F0059.R
# iclust.R | F0060.R
# k.myImp.R | F0061.R
# k.pseudotime.R | F0062.R
# k.run.cca.R | F0063.R
# load.h5.R | F0064.R
# run.anchor.R | F0065.R
# run.mnn.R | F0066.R
# run.phenograph.r | F0067.R
# image.capture.10x.R | F0068.R
# add.10x.image.R | F0069.R
# spatial.plot.R | F0070.R
# i.score.R | F0071.R
Try the iCellR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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