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singlepp
A C++ library for cell type classification
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Classify cells in a test dataset based a single reference. More...
Go to the source code of this file.
Classes | |
| struct | singlepp::ClassifySingleOptions< Float_ > |
Options for classify_single() and friends. More... | |
| struct | singlepp::ClassifySingleBuffers< Label_, Float_ > |
Output buffers for classify_single(). More... | |
| struct | singlepp::ClassifySingleResults< Label_, Float_ > |
Results of classify_single() and classify_single_intersect(). More... | |
Namespaces | |
| namespace | singlepp |
| Cell type classification using the SingleR algorithm in C++. | |
Functions | |
| template<typename Value_ , typename Index_ , typename Float_ , typename Label_ > | |
| void | singlepp::classify_single (const tatami::Matrix< Value_, Index_ > &test, const TrainedSingle< Index_, Float_ > &trained, const ClassifySingleBuffers< Label_, Float_ > &buffers, const ClassifySingleOptions< Float_ > &options) |
| Implements the SingleR algorithm for automated annotation of single-cell RNA-seq data. | |
| template<typename Value_ , typename Index_ , typename Float_ , typename Label_ > | |
| void | singlepp::classify_single_intersect (const tatami::Matrix< Value_, Index_ > &test, const TrainedSingleIntersect< Index_, Float_ > &trained, const ClassifySingleBuffers< Label_, Float_ > &buffers, const ClassifySingleOptions< Float_ > &options) |
| template<typename Label_ = DefaultLabel, typename Value_ , typename Index_ , typename Float_ > | |
| ClassifySingleResults< Label_, Float_ > | singlepp::classify_single (const tatami::Matrix< Value_, Index_ > &test, const TrainedSingle< Index_, Float_ > &trained, const ClassifySingleOptions< Float_ > &options) |
| template<typename Label_ = DefaultLabel, typename Value_ , typename Index_ , typename Float_ > | |
| ClassifySingleResults< Label_, Float_ > | singlepp::classify_single_intersect (const tatami::Matrix< Value_, Index_ > &test, const TrainedSingleIntersect< Index_, Float_ > &trained, const ClassifySingleOptions< Float_ > &options) |
Classify cells in a test dataset based a single reference.