Changelog
Source:NEWS.md
icWGCNA 0.4.1
- Fixed bug in
map_eigengenes_on_seurat()when cutoff method is “value” - Updated MSigDB data for
compute_MSigDB_enrichment()
icWGCNA 0.4.0
New Features
-
display_top_genes()to identify top gene and/or values of communities
Other Changes
- Renamed
gene_mapping()toexpression_compression(), and parametermapping_filetomapping_df.gene_mapping()name kept for backwards compatibility.
icWGCNA 0.3.0
New Features
-
map_eigengenes_on_seurat()to map eigengenes on a Seurat Object
icWGCNA 0.2.5
New Features
-
find_unique_top_genes()to identify top gene of communities that are unique (only belong to one community)
Other Changes
- Removed uncorrected_community_signature output from
icwgcna()- Now users should run
compute_eigengene_matrix()aftericwgcna()if uncorrected community signatures are needed.
- Now users should run
icWGCNA 0.2.4
- Fixed bug in
compute_eigengene_matrix()when all genes are above cutoff
icWGCNA 0.2.3
New Features
expression_compression() function for converting between gene types (i.e. ENTREZ to Hugo), which many options for compression of duplicate rows.
Other Changes
- Minor bug fixes
- Switching to
fastcluster::hclust()from stats pacakge (#16)
icWGCNA 0.2.2
- Bug fixes and internal function improvements
- Add p value output for
compute_MSigDB_enrichment() - Add full_metaGenes and full_eigenGenes output for
icwgcna()
icWGCNA 0.2.1
Bug fixes and checking for PC1 > 35% in input expression
icWGCNA returns uncorrected_community_signature instead of full_community_membership and full_community_signature
icWGCNA 0.2.0
New Features
Enrichments Functions
-
compute_MSigDB_enrichment()(with parallel and distributed processing) compute_xCell_enrichment()
icWGCNA 0.1.0
Initial release to be shared publicly
Bug Fixes
Better panglaoDB variable name matches and error catching (#18)
Downstream functions improvement and error catching
icWGCNA 0.0.0.9002
Bug Fixes
Fixed error when genes have 0 standard deviation (#16)