data.NaiveBayes: Training Data

In cleanUpdTSeq: This package classifies putative polyadenylation sites as true or false/internally oligodT primed

Description

This is the negative and positive training data.

Usage

data(data.NaiveBayes)

Format

A list with 2 data frame, "Negative" and "Positive". Negative has 9219 observations on the following 4120 variables. And Positive is a data frame with 22770 observations on the following 4120 variables. The format is:

Negative

'data.frame': 9219 obs. of 4120 variables:

Positive

'data.frame': 22770 obs. of 4120 variables:

Both of them have same structure.

y

a numeric vector

n.A.Downstream

a numeric vector

n.C.Downstream

a numeric vector

n.T.Downstream

a numeric vector

n.G.Downstream

a numeric vector

avg.distanceA2PeakEnd

a numeric vector

dimer: such as AA, AC, AG, AT, CA, ... etc.

a numeric vector

heximer: such as AAAAAA, ACGTAC, ... etc.

a factor with levels 0 1

upstream.seq

a vector of sequence string

downstream.seq

a vector of sequence string

Examples

data(data.NaiveBayes)
head(str(data.NaiveBayes$Negative))
head(str(data.NaiveBayes$Positive))

cleanUpdTSeq documentation built on Nov. 8, 2020, 8:30 p.m.