R语言scRecover：估算单细胞RNA-seq数据scRecover()函数-中英文对照帮助文档
By MicroRbt Martinez PhD
R语言函数名：scRecover()
R语言函数功能：scRecover：估算单细胞RNA-seq数据
来自资源库：Bionconductor-software
scRecover()函数所属R语言包：所在R包具体名称、包功能的中英文双语描述见正文后面'--所在R语言包信息--'部分。
描述-----Description-----
This function is used to impute missing values in single-cell RNA-seq (scRNA-seq) data. It takes a non-negative matrix of scRNA-seq raw read counts or a SingleCellExperiment object as input. So users should map the reads (obtained from sequencing libraries of the samples) to the corresponding genome and count the reads mapped to each gene according to the gene annotation to get the raw read counts matrix in advance.
此功能用于估算单细胞RNA序列（scRNA-seq）数据中的缺失值。它以scRNA-seq原始读取计数的非负矩阵或SingleCellExperimentcc对象作为输入。因此，用户应将读取（从样品测序文库中获得）定位到相应的基因组，并根据基因注释对映射到每个基因的读取进行计数，以预先获得原始读取计数矩阵。
使用方法-----Usage-----
scRecover(counts, Kcluster = NULL, labels = NULL, outputDir = NULL,
depth = 20, SAVER = FALSE, MAGIC = FALSE, UMI = FALSE,
hist_raw_counts = NULL, hist_RUG_counts = NULL, parallel = FALSE,
BPPARAM = bpparam(), verbose = TRUE)
参数-----Arguments-----
参数counts介绍: A non-negative integer matrix of scRNA-seq raw read counts or a SingleCellExperiment object which contains the read counts matrix. The rows of the matrix are genes and columns are samples/cells.
scRNA-seq原始读取计数的非负整数矩阵，或者包含读取计数矩阵的SingleCellExperiment对象。矩阵的行是基因，列是样本/细胞。
参数Kcluster介绍: An integer specifying the number of cell subpopulations. This para
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发表于 2021-2-20 14:28:45
