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poseidonchan
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TAPE
Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
https://sctape.readthedocs.io/
GNU General Public License v3.0
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Sampling takes too much time, can use GPU?
#16
abrarrahmanabir
opened
1 month ago
2
Add validation loss to model
#15
oyew707
closed
3 months ago
0
reproducing result for pbmc
#14
fanying2015
opened
6 months ago
2
Data format for bulk RNA-seq with 10X UMI data as reference: counts, TPM or PFKM?
#13
Junjie-Hu
opened
10 months ago
3
data normalization
#12
doulijun777
opened
11 months ago
2
TranscriptLength is easier to get comparing to transcript start and end
#11
loganylchen
opened
1 year ago
2
Popping Figure
#10
alexdray86
opened
1 year ago
1
Guidance on selecting parameters and choice of data scaling
#9
dr-michael-haley
opened
1 year ago
1
ValueError: Found array with 0 sample(s) (shape=(0, 5000)) while a minimum of 1 is required by MinMaxScaler
#8
renruichen
opened
1 year ago
2
ValueError: Bin edges must be unique: array
#7
renruichen
closed
1 year ago
3
Accessing signature matrix when adaptive = False?
#6
fojackson8
opened
1 year ago
4
About program operation
#5
solitudetuzi
opened
1 year ago
2
unable to get expected results
#4
robinredX
closed
1 year ago
2
Bump numpy from 1.19 to 1.21.0
#3
dependabot[bot]
closed
2 years ago
1
Chan
#2
poseidonchan
closed
2 years ago
0
Chan
#1
poseidonchan
closed
3 years ago
0