TrainModels: This function trains a class of models given a FASTA file...
In carltonyfakhry/InvenireSRNA: Invenire Small RNA
Description
Usage
Arguments
Value
Author(s)
Description
Given a FASTA file of seed sequences of sRNA, we learn a set of models
for prediction on the class of sRNAs which the seed sequences belong
to.
Usage
1
TrainModels(seed_sequences_fasta, n_models = 100, bootstrap_iterations = 1000)
Arguments
seed_sequences_fasta
The FASTA file containing the seed sequences.
n_models
The number of models to be learned. n_models must be
greater than zero.
bootstrap_iterations
The number of iterations for bootstrapping.
Value
an object of class InvenireSRNA which has a data frame coefficients_4_features
containing the coefficients of the Boltzmann Triplet features for
bootstrap_iterations number of models trained for prediction.
An object with S3 class InvenireSRNA which contains the following elements:
coefficients_4_features a data frame containing the coefficients of the Boltzmann Triplet features for
bootstrap_iterations number of models trained for prediction.
Author(s)
Carl Tony Fakhry , Kourosh Zarringhalam, Rahul Kulkarni and Ping Chen.
carltonyfakhry/InvenireSRNA documentation built on May 13, 2019, 12:49 p.m.
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Description Usage Arguments Value Author(s)
Description
Given a FASTA file of seed sequences of sRNA, we learn a set of models for prediction on the class of sRNAs which the seed sequences belong to.
Usage
1 | TrainModels(seed_sequences_fasta, n_models = 100, bootstrap_iterations = 1000)
|
Arguments
seed_sequences_fasta |
The FASTA file containing the seed sequences. |
n_models |
The number of models to be learned. n_models must be greater than zero. |
bootstrap_iterations |
The number of iterations for bootstrapping. |
Value
an object of class InvenireSRNA which has a data frame coefficients_4_features containing the coefficients of the Boltzmann Triplet features for bootstrap_iterations number of models trained for prediction.
An object with S3 class InvenireSRNA which contains the following elements:
coefficients_4_features a data frame containing the coefficients of the Boltzmann Triplet features for bootstrap_iterations number of models trained for prediction.
Author(s)
Carl Tony Fakhry , Kourosh Zarringhalam, Rahul Kulkarni and Ping Chen.
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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