Topic Inference to Identify Tissue Architecture in Multiplexed
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Documentation for package ‘SpaTopic’ version 1.3.1
Help Pages
| SpaTopic-package | SpaTopic: Spatial Topic Modeling for Multiplexed Images |
| frex_topic | Calculate FREX ranked words and values for a topic |
| label_topics | Label topics function |
| lift_topic | Calculate lift ranked words and values for a topic |
| lung5 | Example input data for 'SpaTopic' |
| print.SpaTopic | Print method for SpaTopic objects |
| prob_topic | Calculate highest probability words and values for a topic |
| score_topic | Calculate score ranked words and values for a topic |
| Seurat5obj_to_SpaTopic | Convert a Seurat v5 object as the input of 'SpaTopic' |
| SpaTopic | SpaTopic: Spatial Topic Modeling for Multiplexed Images |
| SpaTopic-class | A class of the output from 'SpaTopic' |
| SpaTopic-Package | SpaTopic: Spatial Topic Modeling for Multiplexed Images |
| SpaTopic_inference | 'SpaTopic': fast topic inference to identify tissue architecture in multiplexed images |
| spatopic_message | Format messages for SpaTopic package |
| stratified_sampling_3D_via_2D | Spatially stratified random sample points from a 3D image using 2D slicing. |
| stratified_sampling_sf | Spatially stratified random sample points from an image. |