issues
search
Teichlab
/
celltypist
A tool for semi-automatic cell type classification
https://www.celltypist.org/
MIT License
260
stars
40
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Add container section to README
#27
prete
closed
2 years ago
0
Gene names VS gene IDs in precomputed models
#26
emdann
closed
2 years ago
3
Add Dockerfile
#25
prete
closed
2 years ago
0
Predition error
#24
Yuxin-Cui
closed
2 years ago
2
The tutorial notebook didn't quite work ModuleNotFoundError: No module named 'celltypist'
#23
brianpenghe
closed
2 years ago
1
error while plotting predictions: cannot find keys
#22
ersgupta
closed
2 years ago
5
T compartment without exhausted T cells?
#21
Zifeng-L
closed
1 year ago
2
Subsetting celltypist model by cell type
#20
MarcusLCC
closed
2 years ago
1
Using integrated data
#19
miltargid
closed
2 years ago
1
Fix np.AxisError caused by binary cell type decisions
#18
chbeltz
closed
2 years ago
0
Binary cell type decisions lead to np.AxisError in predict_labels_and_prob
#17
chbeltz
closed
2 years ago
6
Error : sparse matrix length is ambiguous; use getnnz() or shape[0]
#16
aditya-sarkar441
closed
2 years ago
4
0 features used for prediction
#15
bbimber
closed
2 years ago
1
Celltypist showing invalid expression matrix
#14
aditya-sarkar441
closed
2 years ago
7
Add environment variable support
#13
ChuanXu1
closed
2 years ago
0
sequencing protocol requirements?
#12
nrosed
closed
2 years ago
2
Support custom .celltypist dir?
#11
bbimber
closed
2 years ago
2
Deterministic results?
#10
bbimber
closed
2 years ago
2
Wording on message
#9
bbimber
closed
2 years ago
1
Use "python -m" to run celltypist?
#8
bbimber
closed
2 years ago
6
Filtering labels in celltypist.dotplot
#7
emdann
closed
2 years ago
2
Add `model_list` argument to download models by name
#6
prete
closed
2 years ago
0
Add a ``celltypist.download_model(force_update=True)`` API
#5
watiss
closed
2 years ago
1
Add goolge colab badges
#4
prete
closed
2 years ago
0
`celltypist.annotate` to specify the required scale for count normalization (currently 10'000)
#3
watiss
closed
2 years ago
1
Failed to install with conda
#2
f6v
closed
2 years ago
2
Bioconda recipe
#1
mjsteinbaugh
closed
3 years ago
2
Previous