selex.summary: Display all count table, Markov model, and information gain...

In SELEX: Functions for analyzing SELEX-seq data

Description

This function returns the summaries of either all the calculated count tables, Markov models, and information gain values in the current working directory or those for a specific sample.

Usage

selex.summary(sample=NULL, displayFilter=FALSE)

Arguments

sample	A sample handle to the sample for which summaries should be returned.
displayFilter	Display all applied sequence filter attributes.

Value

selex.summary returns a list containing the following components:

countSummary	a data frame containing the sample, kmer length, offset, minimum/maximum count, total count, and applied filters for either all count tables or a specified sample in the current working directory.
markovModel	a data frame containing the sample, order, Markov model type, R^2 value, cross validation sample/length, and applied filters for either all computed Markov models or a specified sample in the current working directory.
informationGain	a data frame containing the sample, Kmer length, information gain value, Markov model/type, and applied filters for either all computed information gain values or a specified sample in the current working directory.

See Also

selex.counts, selex.countSummary, selex.infogain, selex.infogainSummary, selex.mm, selex.mmSummary

Examples

selex.summary()

SELEX documentation built on Nov. 8, 2020, 5:22 p.m.