ScCATCH Versions Save

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

v3.1

2 years ago

fix some errors

v3.0

2 years ago
  • 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

3 years ago
  • 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
  • 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
  • Add a progress bar for findmarkergenes and scCATCH.

v2.0

4 years ago
  • Add cluster and match_CellMatch parameters to handle large scRNA-seq datasets.
  • Add cancer parameters to annotate scRNA-seq data from tissue with cancer.