encoderModel_calc_embedding: Compute embedding for complete data after training
In quon-titative-biology/scAlign: An alignment and integration method for single cell genomics
Description
Usage
Arguments
Value
View source: R/backend_encoder.R
Description
Takes the high dimensional data through the neural network to embedding layer
Usage
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encoderModel_calc_embedding(
sess,
data,
endpoint,
test_in,
FLAGS,
batch_size = 150
)
Arguments
sess
Current tensorflow session
data
Input matrix or tensor to reduce to embedding space
endpoint
Operation to evaluate in the graph
test_in
Placeholder to process full data in batches
FLAGS
Tensorflow run arguments
batch_size
how many cells per each batch
Value
Aligned data embedding
quon-titative-biology/scAlign documentation built on Nov. 17, 2021, 9:57 a.m.
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Description Usage Arguments Value
View source: R/backend_encoder.R
Description
Takes the high dimensional data through the neural network to embedding layer
Usage
1 2 3 4 5 6 7 8 | encoderModel_calc_embedding(
sess,
data,
endpoint,
test_in,
FLAGS,
batch_size = 150
)
|
Arguments
sess |
Current tensorflow session |
data |
Input matrix or tensor to reduce to embedding space |
endpoint |
Operation to evaluate in the graph |
test_in |
Placeholder to process full data in batches |
FLAGS |
Tensorflow run arguments |
batch_size |
how many cells per each batch |
Value
Aligned data embedding
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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