Given guide and gene parameters, use MLE to obtain sample parameters. Sample parameters assumed to be independent, so 1D optimization used. All samples present in user_DataObj are used.
1 2 3 4 5 6 7 8 9 | optSample(
sample_effects,
gene_effects,
guide_efficiency,
use_genes,
write_log,
user_DataObj,
user_ModelObj
)
|
sample_effects |
Sample effects to use on initiailization. |
gene_effects |
By-gene essentiality parameters. |
guide_efficiency |
By-guide efficiency parameters. |
use_genes |
Vector of gene names to use when estimating sample parameters. |
write_log |
Function to write to central timestamped log file. |
user_DataObj |
DataObject with experimental data to analyze. |
user_ModelObj |
ModelObject with preprocessed model parameters. |
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