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# ignore data folder | ||
data | ||
test | ||
revdep | ||
benchmarking | ||
.Rproj.user | ||
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@@ -2,7 +2,7 @@ Package: SpaTopic | |
Type: Package | ||
Title: Topic Inference to Identify Tissue Architecture in Multiplexed Images | ||
Version: 1.1.0 | ||
Date: 2023-12-20 | ||
Date: 2023-04-22 | ||
Authors@R: person("Xiyu", "Peng", email = "[email protected]", | ||
role = c("aut", "cre"),comment = c(ORCID = "0000-0003-4232-0910")) | ||
Description: A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>. | ||
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