05/2019 - Turning big data into smart data: two examples based on the analysis of the Mappa dei Rischi dei Comuni Italiani
The recently presented Mappa dei Rischi dei Comuni Italiani is a freely accessible web portal, implemented by ISTAT, which provides integrated data on different natural risks in Italian municipalities together with socio-economic and demographic data We here illustrate two paradigmatic examples where the big data of the Mappa are transformed into smart data using advanced […]
05/2019 - Long-term correlations in short, non-stationary time series: An application to international R&D collaborations
Within the perimeter of patent collaboration networks, the average distance of collaborations and the number of countries involved per each collaboration have been shown to have increased steadily in time. Less attention, though, has been devoted to assessing whether this growth of cross-country collaborations is stable in time. To address this scientific question we focus […]
04/2019 - iFISH is a publically available resource enabling versatile DNA FISH to study genome architecture
DNA fluorescence in situ hybridization (DNA FISH) is a powerful method to study chromosomal organization in single cells. At present, there is a lack of free resources of DNA FISH probes and probe design tools which can be readily applied. Here, we describe iFISH, an open-source repository currently comprising 380 DNA FISH probes targeting multiple […]
03/2019 - Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for resolving transcriptional heterogeneity. However, its application to studying cancerous tissues is currently hampered by the lack of coverage across key mutation hotspots in the vast majority of cells; this lack of coverage prevents the correlation of genetic and transcriptional readouts from the same single cell. To overcome this, […]
12/2018 - Nonparametric frailty Cox models for hierarchical time-to-event data
We propose a novel model for hierarchical time-to-event data, for example, healthcare data in which patients are grouped by their healthcare provider. The most common model for this kind of data is the Cox proportional hazard model, with frailties that are common to patients in the same group and given a parametric distribution. We relax […]
Pagina precedente