Fast Single-Cell Consensus Clustering

calc_fjlt | Calculate the FJLT transform |

constr_D | Construct the D matrix for the FJLT transform |

constr_H | Construct the H (Hadamard) matrix for the FJLT transform |

constr_P | Construct the P matrix for the FJLT transform |

FastSC3-package | A short title line describing what the package does |

FJLT | Fast-Johnson-Lindenstrauss-Transform (FJLT) |

fsc3_calc_eigenv.SCESet | Calculate eigenvectors of the transformed distance matrix. |

fsc3_calc_transfs.SCESet | Calculate transformations of the distance matrices. |

fsc3_fjlt.SCESet | Fast-Johnson-Lindenstrauss-Transform (FJLT) |

fsc3_get_buckets_med_exprs | Calculate median feature expression in every bucket |

fsc3_get_buckets.SCESet | Define buckets of cells based on their signatures |

fsc3_get_buckets_signatures.SCESet | Calculate average bucket signatures |

fsc3_get_clusters.SCESet | Reindex cell buckets based on the merged buckets results |

fsc3_get_features.SCESet | Define a set of genes used for creating cell binary... |

fsc3_get_signatures_fjlt.SCESet | Create a binary signature for each cell |

fsc3_get_signatures.SCESet | Create a binary signature for each cell |

fsc3_norm_kernel.SCESet | Calculate doubly-stochastic approximation of the PSD matrix |

fsc3_select_repr_cells.SCESet | Reduce the original dataset by using cell buckets |

fsc3_set_features.SCESet | Title |

ftransformation | Distance matrix transformation |

pad_matrix_with_zeros | Calculate the FJLT transform |

plot_sankey | Plot Sankey diagram comparing two clusterings |

random_forest | Run random forest prediction |

ssNystrom | Calculate approximate eigenvectors |

support_vector_machines | Run support vector machines ('SVM') prediction |

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