R/RcppExports.R

In supatt-lab/SingCellaR: SingCellaR: an integrative analysis tool for single-cell RNA sequencing (scRNA-seq) data

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

compute_weights <- function(idx) {
    .Call(`_SingCellaR_compute_weights`, idx)
}

getDetectedGenesPerCell <- function(X, k) {
    .Call(`_SingCellaR_getDetectedGenesPerCell`, X, k)
}

getExpressingCellsPerGene <- function(X, k) {
    .Call(`_SingCellaR_getExpressingCellsPerGene`, X, k)
}

makeBinaryMatrix <- function(X, k) {
    .Call(`_SingCellaR_makeBinaryMatrix`, X, k)
}

makeBinaryMatrix_for_float <- function(X) {
    .Call(`_SingCellaR_makeBinaryMatrix_for_float`, X)
}

count_expressing_cells <- function(X, Y) {
    .Call(`_SingCellaR_count_expressing_cells`, X, Y)
}

count_divided_by_libsize <- function(X) {
    .Call(`_SingCellaR_count_divided_by_libsize`, X)
}

annoy_search_parallel_cpp <- function(index_name, mat, n_neighbors, search_k, metric, n_threads = 0L, grain_size = 1L) {
    .Call(`_SingCellaR_annoy_search_parallel_cpp`, index_name, mat, n_neighbors, search_k, metric, n_threads, grain_size)
}