enriched_score: Enriched Scores

In jokergoo/EnrichedHeatmap: Making Enriched Heatmaps

Enriched Scores

Description

Enriched Scores

Usage

enriched_score(mat)

Arguments

mat	A normalized matrix from normalizeToMatrix.

Details

The function calculates how the signal is enriched in the target by weighting the distance to the target.

For a numeric vector, assume the vector is denoted as combination of three sub-vectors c(x1, x2, x3) with length n1, n2 and n3, where x1 are data points in upstream windows, x2 are data points in target windows and x3 are data points in downstream windows, the enriched score is calcualted as

sum(x_1i* i/n1) + sum(x_3j* (n3 - j + 1)/n3) + sum(x_2k * abs(n2/2 - abs(k - n2/2)))

where the first two terms are the distance to the start or end position of the target by weighting the distance to the position that if it is closer to the start or end position of the target, it has higher weight. The second term weight the distance to the center point of the target and similar, if it is closer to the center position, it has higher weight.

Value

A numeric vector.

Author(s)

Zuguang Gu <[e-mail]>

Examples

# There is no example
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jokergoo/EnrichedHeatmap documentation built on Feb. 27, 2024, 6:43 p.m.