It has been suggested that one reason for these inconsistencies may be that in complex diseases, such as cancer, multiple genes belonging to one or more physiological pathways are associated with the outcomes. Thus, a possible approach

to improve list stability is to integrate biological information from genomic databases in the learning process; however, a comprehensive assessment based on different types of biological information is still lacking in the literature. In this work we have compared the effect of using Selleck I BET 762 different biological information in the learning process like functional annotations, protein-protein interactions and expression correlation among genes.\n\nResults: learn more Biological knowledge has been codified by means of gene similarity matrices and expression data linearly transformed in such a way that the more similar two features are, the more closely they are mapped. Two semantic similarity matrices, based on Biological Process and Molecular Function Gene Ontology annotation, and geodesic distance applied on protein-protein interaction networks, are the best performers in improving list stability maintaining almost equal prediction accuracy.\n\nConclusions: The performed analysis supports the idea that when some features are strongly correlated

to each other, for example because are close in the protein-protein interaction network, then they might have similar importance and are equally relevant for the task at hand. Obtained results can be a starting point for additional experiments on combining similarity matrices in order to obtain even more stable lists of biomarkers. The implementation of the classification algorithm is available at the link: http://www.math.unipd.it/dasan/biomarkers.html.”
“Objective. This study aimed to evaluate the presence and importance of pain catastrophizing among men diagnosed with chronic abacterial

prostatitis/chronic pelvic pain syndrome (CP/CPPS) in a routine clinical setting. Material and methods. 61 men, mean age 46 +/- 11 years, with a mean CP/CPPS history of 11 +/- 11 years, completed the National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI), Short-Form McGill Pain Questionnaire (SF-MPQ) and Coping Strategies Questionnaire (CSQ) selleck products to evaluate pain catastrophizing, and the International Index of Erectile Function (IIEF-5). They were also scored according to the UPOINT system. Results. The patients’ mean scores were: IEEF-5 17.6 +/- 7.3, NIH-CPSI pain subscale 11.1 +/- 4.4, quality of life question 2.7 +/- 1.6, quality of life impact subscale 6.9 +/- 2.7 and CSQ catastrophizing score 15.3 +/- 9.1. Patients with a high tendency for catastrophizing (CSQ score >= 20) (28%) had higher UPOINT and pain scores, worse quality of life and quality of life impact, but did not stand out regarding voiding dysfunction and ejaculatory pain. Conclusions.