Andrea Pinna

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BACKGROUND Reverse-engineering gene networks from expression profiles is a difficult problem for which a multitude of techniques have been developed over the last decade. The yearly organized DREAM challenges allow for a fair evaluation and unbiased comparison of these methods. RESULTS We propose an inference algorithm that combines confidence matrices,(More)
In this work, we acknowledge the need for software engineers to devise specialized tools and techniques for blockchain-oriented software development. Ensuring effective testing activities, enhancing collaboration in large teams, and facilitating the development of smart contracts all appear as key factors in the future of blockchain-oriented software(More)
UNLABELLED End-to-end next-generation sequencing microbiology data analysis requires a diversity of tools covering bacterial resequencing, de novo assembly, scaffolding, bacterial RNA-Seq, gene annotation and metagenomics. However, the construction of computational pipelines that use different software packages is difficult owing to a lack of(More)
SUMMARY SysGenSIM is a software package to simulate Systems Genetics (SG) experiments in model organisms, for the purpose of evaluating and comparing statistical and computational methods and their implementations for analyses of SG data [e.g. methods for expression quantitative trait loci (eQTL) mapping and network inference]. SysGenSIM allows the user to(More)
The data-driven inference of intracellular networks is one of the key challenges of computational and systems biology. As suggested by recent works, a simple yet effective approach for reconstructing regulatory networks comprises the following two steps. First, the observed effects induced by directed perturbations are collected in a signed and directed(More)
Heat-Preserving Structure of Proteins Lorenzo Livi, ∗ Enrico Maiorino, † Andrea Pinna, ‡ Alireza Sadeghian, § Antonello Rizzi, ¶ and Alessandro Giuliani ∗∗ Dept. of Computer Science, Ryerson University, 350 Victoria Street, Toronto, ON M5B 2K3, Canada Dept. of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Via(More)
The design of mixed signal systems on chip is in a continuous growth these last few years. So the technical progress for systems integration allows the implementation of millions of active or passive pixel sensors (APS or PPS) on a same chip in order to define image matrix (system on chip). It has become crucial for the design of these systems to accurately(More)
The number of domains affected by the big data phenomenon is constantly increasing, both in science and industry, with high-throughput DNA sequencers being among the most massive data producers. Building analysis frameworks that can keep up with such a high production rate, however, is only part of the problem: current challenges include dealing with(More)
Many systems and data processing for 3D vision have been designed but few have targeted real-time embedded systems. We present in this article Cyclope, an original real-time embedded multi-spectral 3D vision sensor. For this, we have developed a new digital processing architecture to reconstruct the 3D information from images. This architecture conforms to(More)