TU_SVM: Using Support Vector Machine to train and generate TU...

In s18692001/rSeqTU: rSeqTU package

Description

Using Support Vector Machine to train and generate TU prediction results

Usage

TU_SVM(positive_training, negative_training, positive_strand_testing,
  negative_strand_testing, file_RNAseqSignals, file_gff, output_prefix,
  genome_name)

Arguments

positive_training	The file of positive training dataset.
negative_training	The file of negative training dataset.
positive_strand_testing	The file of positive strand testing dataset.
negative_strand_testing	The file of negative strand testing dataset.
file_RNAseqSignals	The .NA file generated by previous step
file_gff	The .gff file of reference genome
output_prefix	The prefix of output file name
genome_name	The file of referecne genome

Value

TU prediction results

s18692001/rSeqTU documentation built on May 18, 2019, 2:36 a.m.