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Estimation of sickness absenteeism among Italian healthcare workers during seasonal influenza epidemics

article. Author Contributions Conceptualization: Maria Michela Gianino, Carla Maria Zotti. Data curation: Antonio Scarmozzino. Formal analysis: Gianfranco Politano, Alfredo Benso. Investigation: Lorena ... Charrier, Marco Testa, Sebastian Giacomelli. Methodology: Maria Michela Gianino, Gianfranco Politano, Alfredo Benso, Carla Maria Zotti. Supervision: Maria Michela Gianino, Carla Maria Zotti. Writing

CyTRANSFINDER: a Cytoscape 3.3 plugin for three-component (TF, gene, miRNA) signal transduction pathway construction

Background Biological research increasingly relies on network models to study complex phenomena. Signal Transduction Pathways are molecular circuits that model how cells receive, process, and respond to information from the environment providing snapshots of the overall cell dynamics. Most of the attempts to reconstruct signal transduction pathways are limited to single regulator ...

ReNE: A Cytoscape Plugin for Regulatory Network Enhancement

One of the biggest challenges in the study of biological regulatory mechanisms is the integration, americanmodeling, and analysis of the complex interactions which take place in biological networks. Despite post transcriptional regulatory elements (i.e., miRNAs) are widely investigated in current research, their usage and visualization in biological networks is very limited. ...

An extended gene protein/products boolean network model including post-transcriptional regulation

Gianfranco Politano 0 Alessandro Savino 0 Alessandro Vasciaveo 0 Department of Control and Computer Engineering , Politecnico di Torino, Torino , Italy ions. Boolean Networks (BNs), for example, are a

A combined approach for genome wide protein function annotation/prediction

Background Today large scale genome sequencing technologies are uncovering an increasing amount of new genes and proteins, which remain uncharacterized. Experimental procedures for protein function prediction are low throughput by nature and thus can't be used to keep up with the rate at which new proteins are discovered. On the other hand, proteins are the prominent stakeholders ...

Building gene expression profile classifiers with a simple and efficient rejection option in R

Background The collection of gene expression profiles from DNA microarrays and their analysis with pattern recognition algorithms is a powerful technology applied to several biological problems. Common pattern recognition systems classify samples assigning them to a set of known classes. However, in a clinical diagnostics setup, novel and unknown classes (new pathologies) may ...

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Giollo Damiano Piovesan Silvio C.E. Tosatto Angela del Pozo José M. Fernández Paolo Maietta Alfonso Valencia Michael L. Tress Alfredo Benso Stefano Di Carlo Gianfranco Politano Alessandro Savino Hafeez Ur