issues
search
BIMSBbioinfo
/
ikarus
Identifying tumor cells at the single-cell level using machine learning
MIT License
45
stars
12
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Looks like reversed labeling - tumor <=> normal
#22
wgsim
opened
2 months ago
1
Sparse dot product
#21
epaaso
closed
3 weeks ago
1
glmer model failed to converge
#20
Fas9ly
closed
1 year ago
1
Customize training data
#19
pikapika505
closed
9 months ago
2
ValueError: output array is read-only when calling preprocess_adata
#18
ImNotaGit
closed
9 months ago
3
Failed to converge when training the model.
#17
lconan
closed
2 weeks ago
6
Problems about the feature selection of the model
#16
Jonyyqn
closed
1 year ago
7
I ran into some problems when reproducing results of your article.
#15
Long-Wenxin
closed
1 year ago
9
adjust sensitivity of prediction
#14
amisios
closed
2 years ago
3
incorrectly labels normal epithelial cells as tumor cells
#13
neil-n-zhang
closed
2 years ago
5
pyscenic does not contain genesig
#12
rekado
closed
2 years ago
6
NA value error?
#11
JahanRahman
closed
2 years ago
10
KeyError: 'tier_0' when trying to plot results
#10
ttszen
closed
2 years ago
6
Key error- related to joblib version?
#9
JahanRahman
closed
2 years ago
8
Proposing some initial codes
#8
skr3178
closed
2 years ago
1
ContextualVersionConflict
#7
skr3178
closed
2 years ago
2
append prediction results to anndata object
#6
dohmjan
closed
2 years ago
1
Revision
#5
dohmjan
closed
2 years ago
0
test model load
#4
frenkiboy
closed
2 years ago
0
Implement different scoring functions
#3
frenkiboy
closed
2 years ago
0
Develop aucell
#2
dohmjan
closed
3 years ago
0
Typo
#1
melonheader
closed
3 years ago
0