ScoreDistribution

Full name SMRUCC.genomics.Analysis.SequenceTools.SequencePatterns.ScoreDistribution Assembly SMRUCC.genomics.Analysis.SequenceTools.SequencePatterns.MotifScanner Members 8

Discretized probability distribution of the log-odds score under the null (background) model. Built once per motif, then queried for each observed score to obtain a p-value.

01 Syntax

SMRUCC.genomics.Analysis.SequenceTools.SequencePatterns.ScoreDistribution

02 Methods

Name	Overloads	Summary
BinIndex	1	Map a score to its bin index (clamped to valid range).
PValueGE	1	Upper-tail p-value: P(score >= threshold) under the null model.
PValueLE	1	Lower-tail p-value: P(score <= threshold) under the null model.
Quantile	1	Upper-tail inverse CDF (quantile).

03 Properties

Name	Overloads	Summary
MinScore	1	Inclusive lower bound of the binned score range.
MaxScore	1	Inclusive upper bound of the binned score range.
BinWidth	1	Width of each bin.
Bins	1	Probability mass in each bin; Bins[i] covers [MinScore + iBinWidth, MinScore + (i+1)BinWidth).

04 Members

method BinIndex #

BinIndex(Double)

Map a score to its bin index (clamped to valid range).

method PValueGE #

PValueGE(Double)

Upper-tail p-value: P(score >= threshold) under the null model.

method PValueLE #

PValueLE(Double)

Lower-tail p-value: P(score <= threshold) under the null model. Useful for detecting exceptionally poor matches.

method Quantile #

Quantile(Double)

Upper-tail inverse CDF (quantile). Returns the score threshold t such that P(score >= t) = tailProbability under the null distribution. Scores at or above t lie in the most extreme top tailProbability fraction of the null model and can be used as a statistically grounded minimum-score cutoff (e.g. Quantile(0.05) keeps only the top 5% of background scores).

Parameters

Name	Type	Description
`tailProbability`	`Double`	Desired upper-tail mass in (0, 1).

property MinScore #

MinScore

Inclusive lower bound of the binned score range.

property MaxScore #

MaxScore

Inclusive upper bound of the binned score range.

property BinWidth #

BinWidth

Width of each bin.

property Bins #

Bins

Probability mass in each bin; Bins[i] covers [MinScore + iBinWidth, MinScore + (i+1)BinWidth).