Releases: Starlitnightly/omicverse
Releases · Starlitnightly/omicverse
v1.4.0
bulk2single module
- add
BulkTrajBlend
method inbulk2single
single module
- fix the error of
scnocd
model - add
save
,load
, andget_pair_dict
ofscnocd
model
utils
- add
mde
method in utils - add
gz
format support forutils.read
v1.3.1
single module
- add
get_celltype_marker
method insingle
- add
GLUE_pair
,pyMOFA
,pyMOFAART
module insingle
- add tutorial Multi omics analysis by MOFA and GLUE
- update tutorial Multi omics analysis by MOFA
v.1.2.11
bulk module
- fix
wilcoxon
method inpyDEG.deg_analysis
- add the parameter setting of treatment and control group's name in
pyDEG.plot_boxplot
- fix the figure display not entire of
pyWGCNA.plot_matrix
- fix the category correlation failed by ont-hot in
pyWGCNA.analysis_meta_correlation
- fix the network display failed in
pyWGCNA.plot_sub_network
and updated theutils.plot_network
to avoid this error.
v.1.3.0
bulk module
- add
DEseq2
method topyDEG.deg_analysis
- add
pyGSEA
module inbulk
- change the name of raw
pyGSEA
topyGSE
inbulk
- add
get_gene_annotation
ofutils
to perform gene_name transformation
v.1.2.10
renamed the package to omicverse
single module
- fix the argument error of
pySCSA
bulk2single module
- update the plot argument of
bulk2single
v1.2.9
bulk module
- fix the duplicates_index mapping of
Matrix_ID_mapping
- fix the hub genes plot of
pyWGCNA.plot_sub_network
- fix the backupgene of
pyGSEA.geneset_enrichment
to support the rare species - add the module matrix plot in
pyWGCNA.plot_matrix
single module
- add the
rank_genes_groups
check inpySCSA
bulk2single module
- fix the import error of
deepforest
v.1.2.8
Install
- fix the error of pip in install
bulk2single module
- Change the
deep-forest
ofSingle2Spatial
toNeuron Network
to perform classification task - The entire Single2Spatial inference process is accelerated using the GPU, and can be estimated at the batch level by modifying the set
predicted_size
, the original author's function is estimated spot by spot, which is very inefficient - Update the logical of
Single2Spatial.load
to accelerate model loading
v.1.2.5
single module:
- Add
pyVIA
module includerun
,plot_piechart_graph
,plot_stream
,plot_trajectory_gams
,plot_lineage_probability
,plot_gene_trend
,plot_gene_trend_heatmap
,plot_clustergraph
- Fix the error of warning of
utils.pyomic_plot_set
- Update the requirements included
pybind11
,hnswlib
,termcolor
,pygam
,pillow
,gdown
v.1.2.1
single module:
- Add
pySCSA
module includedcell_anno
,cell_anno_print
,cell_auto_anno
,get_model_tissue
- Update the pySCSA tutorial that can be found at here
- Add filter the doublets cells of
single.scanpy_lazy
- Add
single.scanpy_cellanno_from_dict
to annotate easier - Updated the database of SCSA from CellMarker2.0
- Fix the error database key
Ensembl_HGNC
andEnsembl_Mouse
of SCSA
v1.2.0
Update bulk and bulk2single code reference
bulk module:
- Fix the
cutoff
parameter non-vaild onbulk.geneset_enrichment
- Add
pyPPI
,pyGSEA
,pyWGCNA
,pyTCGA
,pyDEG
module.
bulk2single module:
- Add the
bulk2single.save
to save model by manual