ZJUFanLab/scCATCH
Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
4 Releases
Latest: 4y ago
v3.1Latest
fix some errors
v3.0
📋 Changes
- Update Gene symbols in CellMatch according to NCBI Gene symbols (updated in June. 30, 2021, https://www.ncbi.nlm.nih.gov/gene).
- __Allow users to use custom `cellmatch`__
- __Allow users to select different combination of tissues or cancers for annotation.__
- __Allow users to add more marker genes to `cellmatch` for annotation.__
- __Allow users to use markers from different species other than human and mouse.__
- __Allow users to use more methods to identify highly expressed genes.__
v2.1
📋 Changes
- Update Gene symbols in CellMatch according to NCBI Gene symbols (updated in June 19, 2020, https://www.ncbi.nlm.nih.gov/gene). Unmatched marker genes FLJ42102, LOC101928100, LOC200772 and BC017158 are removed.
- Fix the `Error in intI(j, n = x@Dim[2], dn[[2]], give.dn = FALSE) : invalid character indexing` in `findmarkergenes` by adding a check of cluster number. Refer to [issue 14](https://github.com/ZJUFanLab/scCATCH/issues/14)
- Fix the `Error in object[object$cluster == clu.num[i], ] : wrong number of dimensions` in `scCATCH` by adding a check of type of input. Refer to [issue 13](https://github.com/ZJUFanLab/scCATCH/issues/13)
- Add a progress bar for `findmarkergenes` and `scCATCH`.
v2.0
📋 Changes
- Add `cluster` and `match_CellMatch` parameters to handle large scRNA-seq datasets.
- Add `cancer` parameters to annotate scRNA-seq data from tissue with cancer.
