FEAture SelcTion (FEAST) for Single-cell clustering

align_CellType | Align the cell types from the prediction with the truth. |

cal_3_metrics | Calculate 3 metrics and these methods are exported in C... |

cal_F2 | Calculate the gene-level F score and corresponding... |

cal_Fisher2 | Calculate the gene-level fisher score. |

cal_metrics | Calculate 3 metrics and these methods are exported in C... |

cal_MSE | Standard way to preprocess the count matrix. It is the QC... |

Consensus | Consensus Clustering |

eval_Cluster | Calculate the a series of the evaluation statistics. |

FEAST | FEAST main function |

FEAST_fast | FEAST main function (fast version) |

log_TPM_SC3 | Standard way to preprocess the gene expression data in SC3... |

Norm_Y | Normalize the count expression matrix by the size factor and... |

process_Y | Standard way to preprocess the count matrix. It is the QC... |

Purity | Calculate the purity between two vectors. |

SC3_Clust | SC3 Clustering |

Select_Model_short_SC3 | Using clustering results based on feature selection to... |

Select_Model_short_TSCAN | Using clustering results (from TSCAN) based on feature... |

setUp_BPPARAM | set up for the parallel computing for biocParallel. |

Seurat_Clust | Seurat Clustering |

trueclass | An example single cell dataset for the cell label information... |

TSCAN_Clust | TSCAN Clustering |

vector2matrix | function for convert a vector to a binary matrix |

Visual_Rslt | Using clustering results based on feature selection to... |

Y | An example single cell count expression matrix (Yan) |

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