mcc: MCC [p-value] [iid]

In localScore: Package for Sequence Analysis by Local Score

MCC [p-value] [iid]

Description

Calculates an approximated p-value for a given local score value and a medium to long sequence length in the identically and independently distributed model

Usage

mcc(
  local_score,
  sequence_length,
  score_probabilities,
  sequence_min,
  sequence_max
)

Arguments

local_score	the observed local score
sequence_length	length of the sequence (up to one hundred)
score_probabilities	the probabilities for each unique score from lowest to greatest
sequence_min	minimum score
sequence_max	maximum score

Details

This methods is actually an improved method of Karlin and produces more precise results. It should be privileged whenever possible.
As with karlin, the method works the better the longer the sequence. Important note : the calculus of the parameter of the distribution uses the resolution of a polynome which is a function of the score distribution, of order max(score)-min(score). There exists only empirical methods to solve a polynome of order greater that 5 with no warranty of reliable solution. The found roots are checked internally to the function and an error message is throw in case of inconsistency. In such case, you could try to change your score scheme (in case of discretization) or use the function karlinMonteCarlo .

Value

A double representing the probability of a local score as high as the one given as argument

See Also

karlin, daudin, karlinMonteCarlo, monteCarlo

Examples

mcc(40, 100, c(0.08, 0.32, 0.08, 0.00, 0.08, 0.00, 0.00, 0.08, 0.02, 0.32, 0.02), -6, 4)
mcc(40, 10000, c(0.08, 0.32, 0.08, 0.00, 0.08, 0.00, 0.00, 0.08, 0.02, 0.32, 0.02), -6, 4)

localScore documentation built on April 3, 2025, 5:26 p.m.