Global top-scoring pair decision tree for gene expression data analysis
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
Hi-index | 3.84 |
Summary: The top-scoring pair (TSP) and top-scoring triplet (TST) algorithms are powerful methods for classification from expression data, but analysis of all combinations across thousands of human transcriptome samples is computationally intensive, and has not yet been achieved for TST. Implementation of these algorithms for the graphics processing unit results in dramatic speedup of two orders of magnitude, greatly increasing the searchable combinations and accelerating the pace of discovery. Availability: http://www.igb.illinois.edu/labs/price/downloads/. Contact: ndprice@illinois.edu Supplementary information:Supplementary data are available at Bioinformatics online.