add_quadrant_labels | Add quadrant labels to a ggplot representing a scatterplot |
analyze_component_scores | Analyze Differences in Component Scores Across Groups |
analyzeEnrichment | Analyze PC Enrichment |
analyzeTable_Enrichment | Analyze Enrichment in a Contingency Table |
autoProcessRawSerObjs.basic | autoProcessRawSerObjs.basic: An automated and basic pipeline... |
autoProcessRawSerObjs.prime | autoProcessRawSerObjs.prime: An automated and basic pipeline... |
avgExpr_norm | avgExpr_norm |
barplot_vectors | barplot vectors side by side |
BetterViolins | BetterViolins |
BiSplit_DE | BiSplit_DE |
Bool.CellsGT | Bool.CellsGT |
CalckBET | k-Nearest Neighbour Batch Effect Test |
CalculateModuleScoreAvg | CalculateModuleScoreAvg |
CellScore_FeaturePlot | Cell Score Feature Plot |
CellScore_RidgePlot | Cell Score Ridge Plot |
CellScore_VlnPlot | Cell Score Violin Plot |
cleanmygenes.mouse | clean gene set of commonly unwanted genes |
closest_1_0s | Find the closest multiple of 10 to a given number. |
Cold2Hot | Cold2Hot |
ColorTheme | ColorTheme |
colSdColMeans | colSdColMeans |
CommonLoadingSDAMat | Combine loading matrices across multiple SDA runs |
compressSerHD5 | compressSerHD5 |
ComputeARI_Ser | Compute Adjusted Rand Index (ARI) for a Seurat Object |
ComputekBET_ser | Compute kBET (k-nearest neighbor Batch Effect Test) for a... |
ComputeLISI_Ser | Compute LISI (Local Inverse Simpson's Index) for a Seurat... |
ComputeSilhouette_Ser | Compute Silhouette Score for a Seurat Object |
convert.Human2Mouse | convert.Human2Mouse |
convert.Human2Mouse.biomaRt | convert.Human2Mouse.biomaRt |
convert.Mouse2Human.biomaRt | convert.Mouse2Human.biomaRt |
count_overlap | Counts the overlap of items in rows per column feature |
create_gif_LS | Make a GIF from plot list |
create_grouped_plot | Create a grouped plot with percentage labels in the legend. |
CreateProteinHeatmap | Create a protein heatmap |
CreateProteinHeatmap.old | Create a protein heatmap old ver |
create_qq_plot | Create a QQ Plot |
create_upset_plot | Create an UpSet plot from a list of sets |
DesignModelMatrix | Create a Model Matrix for Experimental Design |
discretize_table | discretize_table |
DotPlot2 | Enhanced Dot Plot Visualization for Seurat Objects |
download_CITEseq | download_CITEseq |
download_SeuratHashingCalls | download_SeuratHashingCalls |
DownSample_SerObj_perLevel | DownSample_SerObj_perLevel |
draw_volcano_DEseq | Draw a volcano plot for one contrast derived from DEseq |
dropsimNorm | dropsimNorm |
dropsimNormV2 | dropsimNormV2 speeds up using sparse matrix fx as much as... |
DualFeatGate | Perform dual-feature gating on a Seurat object |
enrichGOFunction | Perform GO Enrichment Analysis and Visualization |
evens | evens |
FeatThrTab_boxplot | Generate a boxplot with jittered points for the percentage of... |
FeaturePlot_cust | Generate a FeaturePlot_cust which is a scatter plot with gene... |
FilterSpatial | Filter Spatial data and plot before and after cell loss |
FindAllMarkers_SubsetCoord | Subset a Seurat object by coordinates and find DE genes |
Find_FOXP3 | Find_FOXP3 Identify FOXP3+ cells |
find_peaks | find_peaks |
find_pseudotime | Find Pseudotime |
Find_TCR_MAITS | Find_TCR_MAITS Identify TRAV1-2 cells and Classical MAITS as... |
frac_to_numeric | frac_to_numeric |
GeneOverlapAcrossComps | Gene overlap across components |
GetAvgExpressionMatrix | Calculate Average Expression Matrix for Marker Genes in... |
getFeatWindows | Get feature windows |
getGeneHomology | Retrieve Homology Information from Ensembl |
Get.Gene_Info | Get.Gene_Info |
GetKEGGPathways | GetKEGGPathways |
get_MitoGeneSet | get_MitoGeneSet |
getTopCorrelationPairs | Get Top Correlation Pairs from a Correlation Matrix |
GetTopKEGG | GetTopKEGG |
GetTopPathways | GetTopPathways |
gg_barplot_2waytable | gg_barplot_2waytable, aka OOSAP::PlotMyTable |
gg_barplot_table | gg_barplot_table |
gg_barplot_table2 | gg_barplot_table2 |
gg_pie_table | gg_pie_table |
gg_tSNE_df | gg_tSNE_df |
go_volcano_plot | GO Volcano Plot |
HeatMap_SDAScore_Thr | This function generates a Heatmap of thresholding SDA score |
heatmap_table | heatmap_table |
ImputeSDA2Ser | This function to add imputed scores from gene loading |
ImputeSDA2SerV2 | This function to add imputed scores from gene loading |
ImputeSDA2SerV3 | This function to add imputed scores from gene loading, V3 is... |
intersect_perc | Compute the percentage of intersection between two character... |
is.even | is.even |
is_in_range | Check if a value falls within a distribution range defined by... |
is.odd | is.odd |
JustDots | Custom Dot Plot Visualization for Seurat Objects |
LoadSCE_ReturnSer | load a h5ad SCE object and convert to seurat |
LogAdd | LogAdd |
make_RNA_heatmap | Make an RNA heatmap |
make_RNA_heatmap2 | Plot RNA heatmap v2, no re-normalization of the data |
map_genes | Map Gene Identifiers in DESeq2 Results |
MDSmyDF | MDS Plot of Data Frame |
Most_Common_Clones | Most_Common_Clones Function to compute the most common clones... |
Most_Common_Clones_2_Matrix | Most_Common_Clones_2_Matrix A function that takes in a list,... |
Most_Common_Clones_Per | Most_Common_Clones_Per Function to compute the most common... |
normaliseDGEv2 | normaliseDGEv2 |
NormalizeAndScaleV2 | NormalizeAndScaleV2 a customized version from CellMembrane |
normalizeMultipleMatrices | Normalize multiple matrices using quantile normalization |
odds | odds |
parse_nih_due_dates | Parse Multiple NIH Grant Pages and Combine Key Dates Data |
parse_single_url | Parse a NIH Grant Page for Key Dates and Metadata |
PCAmyDF | Principal Component Analysis (PCA) Plot |
Perc2Radar | Perc2Radar |
PercentExpressed | Calculate the percent expressed cells for each group in a... |
PercExprThrTab | PercExprThrTab |
PieDonut2 | Plot a pie and donut chart |
plot2Dredux | Plot 2D Dimensionality Reduction |
plot3d_seurat | Plot 3D visualization of Seurat object |
plot_component_ridge | Generate Ridge Plot of Component Scores by Metadata Feature |
PlotDiffComp | Plots destiny's Diffusion Map |
PlotDiffComp2 | Plots destiny's Diffusion Map. This function includes... |
plotEnrichment | Plot Enrichment |
plotEnrichment.old | Plot Enrichment |
PlotExprThrTab | PlotExprThrTab |
PlotFeatThrTab | PlotFeatThrTab |
plotGeneExpression | Plot Gene Expression in Seurat Object |
plot_gene_network | Make a GIF from plot list |
plot_gsea_volcano | Volcano Plot for GSEA Results with Improved Labeling |
plot_heatmap_DEseq | Plot a heatmap of differentially expressed genes for a single... |
PlotHistDensOptima | PlotHistDensOptima |
PlotKEGG | PlotKEGG |
plot_knn | Plot k-Nearest Neighbors Graph |
plot_knn_labels | Plot k-Nearest Neighbors Graph with multiple lables |
plot_libSize | plot_libSize |
plot_loadings_coordinates | This function generates a plot of gene loadings along genomic... |
plot_loadings_coordinates.seurat | This function generates a plot of gene loadings along genomic... |
plot_loadings_coordinatesV2 | Plot Loadings Coordinates with Genomic Information |
plot_minium_spanning_tree | Plot Minimum Spanning Tree |
plot_pca_variance | Plot Explained Variance of Principal Components |
plotPCgeneLoadings | scatter-bubble style of selected PCs and genes |
Plot_Pseudotime_V_Gene | Plot a scatter plot with smoothed lines for selected features |
Plot_Pseudotime_V_Gene_combo | Plot Violin Plots of Gene Expression by Group combo version |
Plot_SDAScoresPerFeature_ser | Plot a heatmap of tabulation of SDA score vs meta |
plot_top_fgsea | Plot Top Enriched Pathways from fgsea Results |
plot_violin_wFeatFilter | Plot Violin Plots of Gene Expression by Group |
plot_violin_wpvalue | Plot violin plots with Wilcoxon p-values |
plot_wordcloud | Plot a word cloud from a named vector of word counts |
predict.SDA | Predict using SDA |
prepNormedDGE_SDA | Prepare and Save Normalized Gene Expression Data for SDA |
princurve_bootstrap | Principal Curve Bootstrap |
process_SCTbase | process Seurat Spatial object via SCT |
ProduceComboHeatmap | Produce a combination heatmap |
ProduceComboHeatmapFromMatrix | Produce Combo Heatmap From Matrix |
ProduceComboHeatmap.old | Produce a combination heatmap old ver |
PseudoMySeur | PseudoMySeur |
QuantileADTcounter | QuantileADTcounter |
quantile_breaks | Quantile Breaks |
QuantileEdgeClean | QuantileEdgeClean |
quantile_norm | quantile_norm |
range01 | Convert Vector to 0-1 Range |
Rank_Swarm | Rank a feature and plot a swarm grouped by select categorical... |
RearrangeLabelsByFrequency | RearrangeLabelsByFrequency |
ReduceSerObj_HTO | ReduceSerObj_HTO |
rotate_df | rotate_df |
rotate_SDA | Rotate SDA factorisation |
rotate_tsne | rotate_tsne |
run_bidirectional_enrichment | Run Gene Set Enrichment Analysis on Loadings |
run_bidirectional_fgsea_from_loadings | Run Bidirectional fgsea Analysis from Gene Loadings |
RunComBat | RunComBat |
RunComBatseq | RunComBatseq |
run_fgsea_from_de | Run GSEA Using fgsea |
run_GSEA_from_signature | Run GSEA from a DE Results Data Frame and a Gene Signature |
RunHarmony | RunHarmony |
Run_Integration | Run Integration Pipeline for Single-Cell Data |
RunKBET | RunKBET |
RunLiger | RunLiger |
RunMNN | RunMNN |
RunScanorama | RunScanorama |
RunScMerge | RunScMerge |
runSDAv1_2D | Run SDA V1.1 in 2D i.e., matrix form |
RunSilhouette | RunSilhouette |
RuntSNE.Matrix | This function to run tsne on matrix |
RunUMAP.Matrix | Perform UMAP Dimensionality Reduction on a Matrix |
RunUMAP.Matrix.py | Run UMAP dimensionality reduction on a matrix using... |
save_ggplot_list | Save a patchwork of ggplot figures to a file |
Save_LS_Excel | Save a List of DE Results to an Excel File |
Save_LS_ExcelV2 | Save DE Results to Excel, Splitting by Up/Down Regulation |
SaveMy_table | Generate and Save/Display a Styled Table |
scale_color_gradient_heat1 | scale_color_gradient_heat1 |
scale_color_gradient_heat2 | scale_color_gradient_heat2 |
scale_colour_Publication | Scale Colour Publication |
scale_fill_Publication | Scale Fill Publication |
scatter_plot_seurat | scatter_plot_seurat |
scrape_arrayexpress | Scrape ArrayExpress metadata and fastq.gz links |
screen_components_by_metadata | Screen All Components for Differences by Metadata Feature |
SDA.AddCompStats | SDA.AddCompStats |
SDA_counts_preproc | Preprocess Raw Count Matrix for SDA |
SDA.GO_Enrichment | Perform Gene Ontology Enrichment Analysis on SDA Components |
SDApostprocessing | Post-process Single-cell Data Analysis (SDA) Results |
SDAresChecks | Diagnostic Checks on SDA Results |
SDAScoreMeta2Reduction | Create a new dimension reduction object using SDA scores |
SDA_ser_preproc | Preprocess Seurat Object for Single-cell Data Analysis |
Ser2Monocle_MakeNProcess | Ser2Monocle_MakeNProcess |
SetDirectionKEGG | SetDirectionKEGG |
similarity_jaccard_DF | similarity overlap dataframe |
similarity_jaccard_LS | similarity_overlap list |
simulate_3D_data | Simulate 3D Data |
SingleFeatGate | Perform dual-feature gating on a Seurat object |
SpatialSer.SlideSeq.local | Create a Seurat object from Spatial SlideSeq data |
STRINGdb_network | STRING Network from Gene List |
string_overlap | Calculate gene overlap between two data frames |
SubsetSerByCoordinates | SubsetSerByCoordinates |
summarize_significant_components | Summarize Significant Components Across Metadata Features |
table2DF | Covert a table to a dataframe |
theme_Publication | Theme Publication |
theme_simple | theme_simple remove legend, and axis text |
theme_simple2 | theme_simple remove legend, axis, and title with base size 20 |
TopGenes_Boxplot | Plot Top Expressed Genes |
TransposeDT | transposedt |
UniformSampleDF_FacPor | UniformSampleDF_FacPor |
UnsupClust_UMAP_proc | Perform unsupervised clustering and UMAP reduction |
updateClusterLabels | Update Cluster Labels Based on Frequency |
VlnPlot_subset | Calculate the percent expressed cells for each group in a... |
WichIn1not2 | WichIn1not2 |
write_nih_deadlines_excel | Write NIH Deadline Data to Excel |
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