predict.coverage: Coverage prediction
In EmmaDann/hexamerModel: Tools for modelling random hexamer primer binding
Description
Usage
Arguments
Value
View source: R/binding_model_functions.r
Description
Predict template sequence coverage based on primer binding model
Usage
1
2
## S3 method for class 'coverage'
predict(keqs.df, eps, prob = batch.prob.uniform())
Arguments
keqs.df
long dataframe of primer-template features, including association constants for primer-template binding reactions
eps
epsilon value for the sample
prob
dataframe of primer probability (default is equal for all)
Value
dataframe of primer-template features with column for predicted coverage
EmmaDann/hexamerModel documentation built on May 5, 2019, 4:48 p.m.
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Description Usage Arguments Value
View source: R/binding_model_functions.r
Description
Predict template sequence coverage based on primer binding model
Usage
1 2 | ## S3 method for class 'coverage'
predict(keqs.df, eps, prob = batch.prob.uniform())
|
Arguments
keqs.df |
long dataframe of primer-template features, including association constants for primer-template binding reactions |
eps |
epsilon value for the sample |
prob |
dataframe of primer probability (default is equal for all) |
Value
dataframe of primer-template features with column for predicted coverage
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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