To estimating the coefficients by fitting the linear model
lm.estimate(obj.train, fit.cut.train = 5)
an object of training data generated from
the minimum counts of the data points used for model fitting, the default for spike-in training dataset is 5.
It models the influence on the local sequence from the dissimilarity of spike-in transcripts measurement. The region of positions around hexamer primers can be defined by the variable "word".
a 1-column matrix of coefficients will be returned.
Cai G, RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION, Ph.D. Thesis, 2013
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