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scran_pca
Principal component analysis for single-cell data
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Perform a simple PCA on a gene-by-cell matrix. More...
#include <vector>#include <type_traits>#include <algorithm>#include "tatami/tatami.hpp"#include "tatami_stats/tatami_stats.hpp"#include "irlba/irlba.hpp"#include "irlba/parallel.hpp"#include "Eigen/Dense"#include "sanisizer/sanisizer.hpp"#include "utils.hpp"Go to the source code of this file.
Classes | |
| struct | scran_pca::SimplePcaOptions |
Options for simple_pca(). More... | |
| struct | scran_pca::SimplePcaResults< EigenMatrix_, EigenVector_ > |
Results of simple_pca(). More... | |
Namespaces | |
| namespace | scran_pca |
| Principal component analysis on single-cell data. | |
Functions | |
| template<typename Value_ , typename Index_ , typename EigenMatrix_ , class EigenVector_ > | |
| void | scran_pca::simple_pca (const tatami::Matrix< Value_, Index_ > &mat, const SimplePcaOptions &options, SimplePcaResults< EigenMatrix_, EigenVector_ > &output) |
| template<typename EigenMatrix_ = Eigen::MatrixXd, class EigenVector_ = Eigen::VectorXd, typename Value_ , typename Index_ > | |
| SimplePcaResults< EigenMatrix_, EigenVector_ > | scran_pca::simple_pca (const tatami::Matrix< Value_, Index_ > &mat, const SimplePcaOptions &options) |
Perform a simple PCA on a gene-by-cell matrix.