Titlebook: Computational Intelligence Methods for Bioinformatics and Biostatistics; 5th International Me Francesco Masulli,Roberto Tagliaferri,Gennady

英寸

欢腾

枕垫

Mining Association Rule Bases from Integrated Genomic Data and Annotationss. Experimental results show that GenMiner requires less memory than Apriori based approaches and that it improves the relevance of extracted rules. Moreover, association rules obtained revealed significant co-annotated and co-expressed gene patterns showing important biological relationships supported by recent biological literature.

Measured

怪物

A Multivariate Algorithm for Gene Selection Based on the Nearest Neighbor Probabilityst neighbor probability, named ., is described and tested on some real world problems regarding the classification of human tissues. The results of such simulations show the ability of NN-RFA in retrieving a correct subset of genes for the problems at hand.

habitat

Control of Cellular Glycolysis by Perturbations in the Glucose Influx is analyzed. Simulations of the perturbed glycolytic model exhibit periodic and quasiperiodic behaviors depending on the amplitude and the frequency of the perturbation. The next-maximum maps obtained distinguish between periodic behavior and quasiperiodic one.

TEM

A New Protein Representation Based on Fragment Contacts: Towards an Improvement of Contact Maps Prede contact maps. Moreover, as a simple concrete application, we show how to build a fragment contact predictor from a residue contact predictor and we show that in some cases this technique can improve contact predictions.

Pamphlet

0302-9743 ethods for Bioinformatics and Biostatistics, CIBB 2008, held in Vietri sul Mare, Italy, in October 2008. The 23 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from 69 submissions. The main goal of the CIBB meetings is to provide a forum open to re

Popcorn

misshapen

Spatial Clustering of Molecular Dynamics Trajectories in Protein Unfolding Simulationsue called Frequent Itemset Mining, that clusters sets of amino acid residues with a synchronized trajectory during the unfolding process. The proposed approach has several advantages over traditional hierarchical clustering.