Published December 8, 2022
| Version v4
Journal article
Open
Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnno
Creators
- 1. KLATASDS-MOE, Academy of Statistics and Interdisciplinary Sciences, East China Normal University
- 2. Centre for Quantitative Medicine, Health Services & Systems Research, Duke-NUS Medical School
- 3. College for Mathematics and Statistics, South-Central Minzu University
- 4. School of Data Science, The Chinese University of Hong Kong, Shenzhen
Description
An efficient and accurate annotation method for spatial transcriptomics datasets, with the capability to effectively leverage a large number of non-marker genes as well as “qualitative” information about marker genes without using a reference dataset. Please check the website https://shufeyangyi2015310117.github.io/SpatialAnno/index.html
Files
SpatialAnno_Analysis.zip
Files
(3.2 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:c61d073e8fc3ec79556ff517183d8608
|
3.2 GB | Preview Download |