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The estimation of survival distributions of patients is an important current problem in clinical oncology. The current trend is to integrate molecular data (such as genomic data) with clinical data (e.g. cancer type, stage of the disease, etc) and then to link survival distributions to molecular profile of patients. Recently, the Affymetrix DMET (Drug Metabolizing Enzymes and Transporters) microarray...
General-purpose Electronic Patient Records (EPR) may lack in support of specialistic clinical data that characterizes each clinical domain. In many clinical settings often such data remain inside the computer systems associated with specialistic instruments and are not readily available to clinicians for conducting large studies for research purposes. In this paper we present audioEPR, a specialized...
Protein-protein interaction (PPI) databases store the whole set of protein interactions in organism. In spite of the availability of much biological information spread on different sources (e.g. Gene Ontology), neither proteins nor interactions are generally annotated in PPI databases. This results in very poor querying capabilities of PPI databases that enable very simple queries. The annotation...
Medical imaging is becoming a key technique to visualize the internal structure of the body. Magnetic resonance imaging (MRI) is currently used to take different spatial images of organs, such as the heart. The output of such an analysis is a set of images representing different views of the body or of an organ. There exist many algorithms to pre-process and analyze medical images such as the well...
The simulation of the dynamics of the blood flow in the venous system of the lower limb is an important tool for supporting clinical research and for suggesting possible treatments for many diseases, e.g. for enhancing the surgical treatment of chronic venous insufficiency (CVI). Nevertheless the accuracy of the simulation of the blood flow is strictly related to the morphological data characterizing...
Interactomics is the study of the Interactome, i.e. the whole set of macromolecular interactions within a cell. Proteins interact among them and different interactions are represented as graphs named Protein to Protein Interaction (PPI) networks. The interest in analyzing PPI networks is related to the possibility of predicting PPI properties on the basis of global properties of the graph (e.g. verify...
The analysis of mass spectrometry proteomics data requires the composition of different software tools devoted to the loading, management, preprocessing, mining, and visualization of spectra data. This paper proposes the use of ontologies to guide the composition of preprocessing and data mining tools and describes the approach through MS-Analyzer, a software tool for the integrated management, preprocessing...
This paper presents a methodology for analyzing and classifying proteins identified in biological samples. In particular, such methodology consists in normalizing and classifying quantity and quality of proteins identified by using tandem mass spectrometry. A case study is considered and a classification experiment for protein discriminant is also reported
The analysis of mass spectrometry proteomics data requires the combination of large storage systems, effective preprocessing techniques, and data mining and visualization tools. The collection, storage and analysis of huge mass spectra produced in different laboratories can leverage the services of computational grids, that offer efficient data transfer primitives, effective management of large data...
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