Man pages for suke18/FEAST
FEAture SelcTion (FEAST) for Single-cell clustering

align_CellTypeAlign the cell types from the prediction with the truth.
cal_3_metricsCalculate 3 metrics and these methods are exported in C...
cal_F2Calculate the gene-level F score and corresponding...
cal_Fisher2Calculate the gene-level fisher score.
cal_metricsCalculate 3 metrics and these methods are exported in C...
cal_MSEStandard way to preprocess the count matrix. It is the QC...
ConsensusConsensus Clustering
eval_ClusterCalculate the a series of the evaluation statistics.
FEASTFEAST main function
FEAST_fastFEAST main function (fast version)
log_TPM_SC3Standard way to preprocess the gene expression data in SC3...
Norm_YNormalize the count expression matrix by the size factor and...
process_YStandard way to preprocess the count matrix. It is the QC...
PurityCalculate the purity between two vectors.
SC3_ClustSC3 Clustering
Select_Model_short_SC3Using clustering results based on feature selection to...
Select_Model_short_TSCANUsing clustering results (from TSCAN) based on feature...
setUp_BPPARAMset up for the parallel computing for biocParallel.
Seurat_ClustSeurat Clustering
trueclassAn example single cell dataset for the cell label information...
TSCAN_ClustTSCAN Clustering
vector2matrixfunction for convert a vector to a binary matrix
Visual_RsltUsing clustering results based on feature selection to...
YAn example single cell count expression matrix (Yan)
suke18/FEAST documentation built on Sept. 14, 2021, 12:22 a.m.