Statistical methods for the analysis of flow cytometry data

autoGate | Automated gating of single populations in 2D |

BackGating | Sample backgating results |

binByRef | Bin a test data set using bins previously created by... |

calcPBChiSquare | Probability binning metirc for comparing the probability... |

calcPearsonChi | Pearsons chi-square statistic for comparing the probability... |

curv1Filter-class | Class "curv1Filter" |

curv2Filter-class | Class "curv2Filter" |

curvPeaks | Parse curv1Filter output |

density1d | Find most likely separation between positive and negative... |

flowStats-package | Statistical methods for flow cytometry data analysis |

gaussNorm | Per-channel normalization based on landmark registration |

gpaSet | Multi-dimensional normalization of flow cytometry data |

idFeaturesByBackgating | (Internal use only) Identify features of flow cytometry data... |

iProcrustes | Procrustes analysis. Using singular value decomposition (SVD)... |

ITN | Sample flow cytometry data |

landmarkMatrix | Compute and cluster high density regions in 1D |

lymphGate | Automated gating of elliptical cell populations in 2D. |

normalize | normalize a GatingSet imported with flowWorkspace, using... |

normQA | Normalization quality assessment |

plotBins | Plots the probability bins overlaid with flowFrame data |

proBin | Probability binning - a metric for evaluating multivariate... |

quadrantGate | Automated quad gating |

rangeGate | Find most likely separation between positive and negative... |

singletGate | Creates a singlet polygon gate using the prediction bands... |

warpSet | Normalization based on landmark registration |

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