decoderModel_train_decoder: decoder for scAlign
In scAlign: An alignment and integration method for single cell genomics
Description
Usage
Arguments
Value
View source: R/train_decoder.R
Description
Projects cells from joint cell state space into one condition.
Usage
1
2
decoderModel_train_decoder(FLAGS, config, mode, data_full, data_emb,
all_data_emb)
Arguments
FLAGS
Tensorflow run arguments.
config
Hardware configuration options.
data_full
High dimensional data used for reconstruction error
data_emb
Low dimensional data from scAlign encoder post alignment
all_data_emb
Low dimensional cells from all conditions to project
CV
Model that is being run.
Value
final interpolation results
scAlign documentation built on April 28, 2020, 6:10 p.m.
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Description Usage Arguments Value
View source: R/train_decoder.R
Description
Projects cells from joint cell state space into one condition.
Usage
1 2 | decoderModel_train_decoder(FLAGS, config, mode, data_full, data_emb,
all_data_emb)
|
Arguments
FLAGS |
Tensorflow run arguments. |
config |
Hardware configuration options. |
data_full |
High dimensional data used for reconstruction error |
data_emb |
Low dimensional data from scAlign encoder post alignment |
all_data_emb |
Low dimensional cells from all conditions to project |
CV |
Model that is being run. |
Value
final interpolation results
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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