Distance Measurements in Phenotypic Screening

angsim_to_cossim | Convert angular similarity to cosine similarity |

angular_similarity | Angular similarity |

average_vector | Calculates and average vector |

bhatt_dist | Bhattacharyya distance |

centre_control | Shift co-ordinates to centre on a compounds centroid |

cosine_pairs | Calculate pairs of cosine similarities between replicates |

cosine_sim | Cosine similarity |

cosine_sim_mat | Creates a cosine similarity matrix |

cosine_sim_vector | Cosine similarity between two vectors |

cossim_to_angsim | Convert cosine similarity to angular similarity |

euclid_dist | Euclidean distance between two vectors |

fold_180 | Constrains numbers to 180 |

get_featuredata | Get featuredata columns |

mahal_dist | Mahalanobis Distance |

manhattan | Manhattan distance between two vectors |

manhattan_norm | Normalised Manhattan distance |

multi_z | Multivariate Z-prime |

norm_vec | norm of a vector |

norm_vector | Calculate the norm (or length) of a vector |

return_features | Return features describing an eigenvector |

r_zscore | Robust Z-score |

scale_features | Scale feature data |

ssmd | Strictly standardised mean difference (SSMD) |

ssmd_effect_message | ssmd effect size description |

theta | Angle between two vectors |

theta0 | Angle between a vector and the origin |

theta0_ | Angle between the vector and the origin |

z_factor | Calculates a Z-factor for two distributions |

z_factor_scan | Multiple z-factor calculations |

zscore | Z-score |

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