CRAN

appnn 1.0-0

Amyloid Propensity Prediction Neural Network

Released Jul 12, 2015 by Carlos Família, Sarah R. Dennison, Alexandre Quintas, David A. Phoenix

This package is available for Renjin and there are no known compatibility issues.

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>appnn</artifactId>
    <version>1.0-0-b23</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:appnn')

Test Results

This package was last tested against Renjin 0.8.2346 on Mar 18, 2017.

Source

R

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Release History