Header menu logo BioFSharp

DPPOP Module

DPPOP - DeeP Peptide Observability Predictor. d::pPop uses a deep neural network to predict proteotypic peptides for proteins of interest. See the publication: https://www.frontiersin.org/articles/10.3389/fpls.2018.01559/full

Types and nested modules

Type/Module Description

Classification

Contains functions to extract the features used in dppop to classify peptides for observability prediction

Prediction

Contains functions to execute peptide observability prediction using the deep neural network dppop.

PredictionInput

Record type containing feature vector, proteinId, and sequence of a peptide

PredictionOutput

Record type containing prediction score, proteinId, and sequence of a peptide

Functions and values

Function or value Description

createPredictionInput data protID sequence

Full Usage: createPredictionInput data protID sequence

Parameters:
    data : float[]
    protID : string
    sequence : string

Returns: PredictionInput

returns a PredictionInput type given the values for the record fields

data : float[]
protID : string
sequence : string
Returns: PredictionInput

createPredictionOutput pId sequence score distinct

Full Usage: createPredictionOutput pId sequence score distinct

Parameters:
    pId : string
    sequence : string
    score : float
    distinct : bool

Returns: PredictionOutput

returns a PredictionOutput type given the values for the record fields

pId : string
sequence : string
score : float
distinct : bool
Returns: PredictionOutput

Type something to start searching.