Installation | Overview | Data preparation | Cell profile matrices | Performing basic deconvolution with the spatialdecon function | Using the advanced settings of spatialdecon | Plotting deconvolution results | Other functions | Combining cell types: | Inferring an expression profile for a cell type omitted from the profile matrix | Reverse deconvolution | Session Info

Overview | Data Processing | Seurat | Seurat Coercion | Simple GeoMx data workflow | In-depth GeoMx data workflow | Spatial Graphing | SpatialExperiment | SpatialExperiment Coercion | Image Overlays

Introduction | Motivation & Scope | Getting started | Loading Data | Study Design | Modules Used | Sample Overview | QC & Pre-processing | Segment QC | Select Segment QC | Visualize Segment QC | Remove flagged segments | Probe QC | Set Probe QC Flags | Exclude Outlier Probes | Create Gene-level Count Data | Limit of Quantification | Filtering | Segment Gene Detection | Gene Detection Rate | Gene Filtering | Normalization | Unsupervised Analysis | UMAP & t-SNE | Clustering high CV Genes | Differential Expression | Within Slide Analysis: Glomeruli vs Tubules | Interpreting the results table | Between Slide Analysis: Diabetic Kidney Disease vs Healthy | Visualizing DE Genes | Volcano Plots | Plotting Genes of Interest | Heatmap of Significant Genes | Additional Resources | GeoMxSet Object Overview | Links & References | Additional Analysis Methods | MA Plot | Session Information

Overview | Load Libraries | Download OME-TIFF from GeoMx | Data Ingestion | SpatialOverlay Accessors | Plotting Without Image | Customizing the graph | Adding the Image | Visualization Marker Legends | Image Manipulation | Flipping Axes | Cropping | Image Coloring | Troubleshooting | java.lang.OutOfMemoryError: Java heap space | java.lang.NegativeArraySizeException | cache resources exhausted | Future Directions

Introduction | Loading Packages | Building a NanoStringRCCSet from .RCC files | Accessing and Assigning NanoStringRCCSet Data Members | Summarizing NanoString nCounter Data | Subsetting NanoStringRCCSet Objects | Apply Functions Across Assay Data | Transforming NanoStringRCCSet Data to Data Frames | Built-in Quality Control Assessment | Housekeeping Genes QC | Binding Density QC | Imaging QC | ERCC Linearity QC | ERCC LOD QC | Data exploration

Overview | Data Processing | RNA | Protein | Segment QC | Target QC | Normalization

Installation | Overview | Data preparation | Cell profile matrices | Performing basic deconvolution with the spatialdecon function | Using the advanced settings of spatialdecon | Plotting deconvolution results | Other functions | Combining cell types: | Inferring an expression profile for a cell type omitted from the profile matrix | Reverse deconvolution | Session Info

Installation | Overview | Data preparation | Background Modeling | Aggregate function | Target QC | Score test | Estimate the size factor | Sample QC | DE modeling | Fixed Effect Model | Mixed effect model | Generate DE result | Normalization | Comparison of normalization methods | Clustering

Introduction | Loading Packages | Building a NanoStringGeoMxSet from .DCC files | How is the DSP data stored in the NanoStringGeoMxSet object? | Accessing and Assigning NanoStringGeoMxSet Data Members | Access annotations | Summarizing NanoString GeoMx Data | Subsetting NanoStringGeoMxSet Objects | Apply Functions Across Assay Data | Built-in Quality Control Assessment | Normalization | Transforming NanoStringRCCSet Data to Data Frames | Transforming NanoSetRccSet assayData matrices