Combining learning and constraints for genome-wide protein annotation

Autor: Stefano Teso, Luca Masera, Michelangelo Diligenti, Andrea Passerini

Publikováno v: BMC Bioinformatics, Vol 20, Iss 1, Pp 1-14 (2019)

Abstract Background The advent of high-throughput experimental techniques paved the way to genome-wide computational analysis and predictive annotation studies. When considering the joint annotation of a large set of related entities, like all protei

Externí odkaz: https://doaj.org/article/56c45242a2894bc5a4f3afeca5b710e9

Multi gas sensors using one nanomaterial, temperature gradient, and machine learning algorithms for discrimination of gases and their concentration

Autor: Nguyen Xuan Thai, Luca Masera, Matteo Tonezzer, Nguyen Duc Hoa, Nguyen Van Duy, Hugo Nguyen

Publikováno v: Analytica Chimica Acta. 1124:85-93

In this work, four identical micro sensors on the same chip with noble metal decorated tin oxide nanowires as gas sensing material were located at different distances from an integrated heater to work at different temperatures. Their responses are co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05d53d737293c03b55c2e8e1b03dec0b
https://doi.org/10.1016/j.aca.2020.05.015

A Computing System for Discovering Causal Relationships among Human Genes to Improve Drug Repositioning

Autor: S. Pilati, Luca Masera, Valter Cavecchia, Matteo Ciciani, Eleonora Nigro, Enrico Blanzieri, Enrica Colasurdo, Francesco Asnicar, Chiara Mazzoni, Toma Tebaldi, Gabriele Tome

The automatic discovery of causal relationships among human genes can shed light on gene regulatory processes and guide drug repositioning. To this end, a computationally-heavy method for causal discovery is distributed on a volunteer computing grid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbea31208c606809f790085a4a992950
http://hdl.handle.net/11572/279813

Quale governo per le migrazioni? - e-Book : Atti del seminario di studi interdisciplinari 20 novembre 2020 Università degli Studi di Milano Bicocca

Autor: Salvatore La Porta, Carlo Amenta, Paolo Di Betta, Calogero Ferrara, Stefania Giova, Giorgia Righi, Carmela Salazar, Paolo Bonetti, Luca Masera, Monica Bonini, Alessandra Corrado, Carla Gulotta

OneGenE: Regulatory Gene Network Expansion via Distributed Volunteer Computing on BOINC

Autor: Valter Cavecchia, Samuel Valentini, Francesco Asnicar, Enrico Blanzieri, Davide Pistore, Luca Masera

Publikováno v: PDP
27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019, pp. 315–322, Pavia, Italy, 13-15/2/2019
info:cnr-pdr/source/autori:Asnicar, Francesco; Masera, Luca; Pistore, Davide; Valentini, Samuel; Cavecchia, Valter; Blanzieri, Enrico/congresso_nome:27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2019/congresso_luogo:Pavia, Italy/congresso_data:13-15%2F2%2F2019/anno:2019/pagina_da:315/pagina_a:322/intervallo_pagine:315–322

Gene regulatory network expansion is a task of the foremost importance in computational biology that aims at finding new genes to expand a given known gene regulatory network. To this end we present OneGenE, a novel framework for gene regulatory netw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75c76bb74a105f53207c2748e51659e2
https://doi.org/10.1109/empdp.2019.8671629