Search Results for "gene expression programming gep"

HeatmapGenerator is a graphical user interface software program written in C++, R, and OpenGL to create customized gene expression heatmaps from RNA-seq and microarray data in medical research. HeatmapGenerator can also be used to make heatmaps in a variety of other non-medical fields. HeatmapGenerator is peer-reviewed published software (http://www.scfbm.org/content/9/1/30). Please cite: [Khomtchouk et al.: "HeatmapGenerator: High performance RNAseq and microarray visualization...

PANDA (Passing Attributes between Networks for Data Assimilation), is a message-passing model to gene regulatory network reconstruction. PANDA integrates multiple sources of biological data, including protein-protein interaction, gene expression, and sequence motif information, in order to reconstruct genome-wide, condition-specific regulatory networks. PANDA is also available in other programming languages, including: MATLAB/Octave: (1) https://drive.google.com/a/channing.harvard.edu/file/d/0BwVdzX3nIj6RamtmNVdKYVk1N2c/view?...

Gene regulatory networks (GRN) inference is an important bioinformatics problem in which the gene interactions need to be deduced from gene expression data, such as microarray data. <br> Feature selection methods can be applied to this problem. A feature selection technique is composed by two parts: a search algorithm and a criterion function.

This is C++ application code that implements Gene Expression Programming, or GEP - a form of genetic algorithm.

GEP is an evolutionary algorithm for function finding. This framework is a powerful way of expressing and coding genetic-like structures and quickly finding solutions through evolution by common genetic operators.

The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.