DNA Microarrays: A Case Study

The great challenge in DNA microarrays problems consists in finding the genes that are relevant to a particular disease or cell state in the midst of thousands of other genes. And thinking of genes as variables, for tackling these problems successfully, in an ideal world, one would have required about an order of magnitude more of samples...

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What is GEP?

Gene Expression Programming (GEP) is the learning algorithm behind GeneXproTools and what it learns specifically is about relationships between the variables or attributes in datasets and then builds models to explain them...

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Karva Notation: The Native Language of GeneXproTools

Karva notation is used internally by GeneXproTools as it allows the compact encoding and rapid expression of complex models. And although very simple to understand, you don't actually have to know it in order to model with GeneXproTools, as all the code generated by GeneXproTools is automatically converted into the most commonly used programming languages...

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External Custom Fitness

In this article we show how to create an external Custom Fitness Function for GeneXproTools using Microsoft Visual Basic 6.0, VB.NET and C#. Until now, to create custom fitness functions you had to be familiar with Javascript but now you can use the techniques in this article to create custom fitness functions in any language that supports the creation of COM components...

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Getting Started with Function Finding

In this tutorial we show how create a new Function Finding run. We cover loading data, adjusting settings, evaluating the function set and the fitness function, electing the best algorithm for your problem and explore evolutionary strategies for creating models efficiently

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How to create a cluster with GeneXproServer

In this tutorial we show how to create a simple clustering solution that allows creating parallel runs with GeneXproServer across a cluster of Windows computers.

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