appnn

appnn.default

This function predicts the amyloidfogenicity propensity of polypeptide sequences through the amyloid propensity prediction neural network (APPNN).

Amyloid propensity prediction neural network (APPNN) is an amyloidogenicity propensity predictor based on a machine learning approach through recursive feature selection and feed-forward neural networks, taking advantage of newly published sequences with experimental, in vitro, evidence of amyloid formation.

Carlos Famlia

Amyloid Propensity Prediction Neural Network

Carlos Família

Alexandre Quintas

appnn function

<dl> <dt>sequences</dt>
<dd>vector of sequences to submit to amyloidogenicity propension prediction neural network</dd></dl>

Arguments

Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix

Author

Prediction of the amyloidogenicity propensity for polypeptide sequences. — appnn

<dl>

 <dt>sequences</dt>
<dd>vector of sequences to submit to amyloidogenicity propension prediction neural network</dd>

</dl>

appnn: Prediction of the amyloidogenicity propensity for polypeptide sequences.

Description

Usage

Value

Arguments

Author

Examples