View source: R/immunogen_predictive_prior.r

For a given peptide, and for all HLAs, compute the shape parameters of the prior distribution for that pHLA combination.

1 2 | ```
get_shape_df(netmhc.df, pep, mode_F = 0.3, sd_F = 0.1, mode_T = 0.7,
sd_T = 0.2)
``` |

`netmhc.df` |
Dataframe with booleans for each pHLA combination: do we think it is immunogenic or not? This can come from predicitve data (hence the name). |

`pep` |
Peptide currently being processed |

`mode_F` |
mode for the Beta distribution for a pHLA combination that has a negative prior (pHLA considered to be non-immunogenic) |

`sd_F` |
standard deviation for a pHLA combination that has a negative prior (pHLA considered to be non-immunogenic) |

`mode_T` |
mode for the Beta distribution for a pHLA combination that has a positive prior (pHLA considered to be immunogenic) |

`sd_T` |
standard deviation for a pHLA combination that has a positive prior (pHLA considered to be immunogenic) |

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