quick_training: quick_training
In hemberg-lab/sctransfermap: sctransfermap for predicting cell type in single-cell data (RNA-seq and ATAC-seq)
Description
Usage
Arguments
Value
Examples
Description
quick traing of zero-shot-learing (ZSL)
Usage
1
quick_training(input_var, name, tissue)
Arguments
input_var
matrix class composed of gene/peak_location(row)-by-cell(column)
- same as result of importdata or convert_seurat
name
any name that user wants for the result
tissue
tissue of the sample (please make sure the word of tissue must be same as pre-existing tissue list. If it is new tissue type, it doesn't matter)
Mouse: Aorta, Brain, Diaphragm, Fat, Heart, Kidney, LargeIntestine, LimbMuscle, Liver, Lung, MammaryGland, Marrow, Pancreas, Skin, Spleen, Thymus, Tongue, Trachea
Value
an attribute for ZSL (trained data in julia object)
Examples
1
2
3
4
att_heart <- quick_training(matrix, "single-cell", "Heart")
att_lung <- quick_training(matrix, "single-cell", "Lung")
att_set <- make_attribute_set(att_heart)
att_set <- add_attribute_set(att_lung, att_set)
hemberg-lab/sctransfermap documentation built on Nov. 11, 2019, 6:23 a.m.
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Description Usage Arguments Value Examples
Description
quick traing of zero-shot-learing (ZSL)
Usage
1 | quick_training(input_var, name, tissue)
|
Arguments
input_var |
matrix class composed of gene/peak_location(row)-by-cell(column) |
name |
any name that user wants for the result |
tissue |
tissue of the sample (please make sure the word of tissue must be same as pre-existing tissue list. If it is new tissue type, it doesn't matter)
|
Value
an attribute for ZSL (trained data in julia object)
Examples
1 2 3 4 | att_heart <- quick_training(matrix, "single-cell", "Heart")
att_lung <- quick_training(matrix, "single-cell", "Lung")
att_set <- make_attribute_set(att_heart)
att_set <- add_attribute_set(att_lung, att_set)
|
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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