scran_markers::ScoreMarkersPairwiseBuffers< Stat_ > Struct Template Reference

Buffers for score_markers_pairwise() and friends. More...

#include <score_markers_pairwise.hpp>

Public Attributes
std::vector< Stat_ * >	mean
std::vector< Stat_ * >	detected
Stat_ *	cohens_d = NULL
Stat_ *	auc = NULL
Stat_ *	delta_mean = NULL
Stat_ *	delta_detected = NULL

Detailed Description

template<typename Stat_>
struct scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >

Buffers for score_markers_pairwise() and friends.

Template Parameters

Stat_

Floating-point type for the output statistics.

Member Data Documentation

auc

template<typename Stat_ >

Stat_* scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >::auc = NULL

Pointer to an array of length equal to \(GN^2\), where \(G\) is the number of genes and \(N\) is the number of groups. This is a 3-dimensional array to be filled with the AUC for the comparison between each pair of groups for each gene; see ScoreMarkersPairwiseBuffers::cohens_d for more details. Alternatively NULL, in which case the AUC is not stored.

cohens_d

template<typename Stat_ >

Stat_* scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >::cohens_d = NULL

Pointer to an array of length equal to \(GN^2\), where \(G\) is the number of genes and \(N\) is the number of groups. This is a 3-dimensional array to be filled with the Cohen's D for the comparison between each pair of groups for each gene.

The first dimension is the fastest changing, is of length equal to the number of groups, and represents the first group. The second dimension is the next fastest changing, is also of length equal to the number of groups, and represents the second group. The third dimension is the slowest changing, is of length equal to the number of genes, and represents the gene. Thus, the entry \((i, j, k)\) represents the effect size of gene \(k\) upon comparing group \(i\) against group \(j\).

Alternatively NULL, in which case the Cohen's D is not stored.

delta_detected

template<typename Stat_ >

Stat_* scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >::delta_detected = NULL

Pointer to an array of length equal to \(GN^2\), where \(G\) is the number of genes and \(N\) is the number of groups. This is a 3-dimensional array to be filled with the difference in the detected proportions for the comparison between each pair of groups for each gene; see ScoreMarkersPairwiseBuffers::cohens_d for more details. Alternatively NULL, in which case the difference in detected proportions is not stored.

delta_mean

template<typename Stat_ >

Stat_* scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >::delta_mean = NULL

Pointer to an array of length equal to \(GN^2\), where \(G\) is the number of genes and \(N\) is the number of groups. This is a 3-dimensional array to be filled with the difference in means for the comparison between each pair of groups for each gene; see ScoreMarkersPairwiseBuffers::cohens_d for more details. Alternatively NULL, in which case the difference in means is not stored.

detected

template<typename Stat_ >

std::vector<Stat_*> scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >::detected

Vector of length equal to the number of groups. Each pointer corresponds to a group and points to an array of length equal to the number of genes, to be filled with the proportion of cells with detected expression in that group.

mean

template<typename Stat_ >

std::vector<Stat_*> scran_markers::ScoreMarkersPairwiseBuffers< Stat_ >::mean

Vector of length equal to the number of groups. Each pointer corresponds to a group and points to an array of length equal to the number of genes, to be filled with the mean expression of each gene in that group.

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The documentation for this struct was generated from the following file:

• /github/workspace/include/scran_markers/score_markers_pairwise.hpp