15 citations · 31 across the 6 of their papers we have counts for
6 papers
Phase Transitions in Unsupervised Feature Selection
Jonathan Fiorentino, Michele Monti, Dimitrios Miltiadis-Vrachnos +3
Identifying minimal and informative feature sets is a central challenge in data analysis, particularly when few data points are available. Here we present a theoretical analysis of…
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi +14
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disp…
Osmolyte-Induced Protein Stability Changes Explained by Graph Theory
Mattia Miotto, Nina Warner, Giancarlo Ruocco +3
Enhanced stabilisation of protein structures via the presence of inert excipients is a key mechanism adopted both by physiological systems and in biotechnological applications. Whi…
Prediction of gene expression time series and structural analysis of gene regulatory networks using recurrent neural networks
Michele Monti, Jonathan Fiorentino, Edoardo Milanetti +2
Methods for time series prediction and classification of gene regulatory networks (GRNs) from gene expression data have been treated separately so far. The recent emergence of atte…
A computational approach to investigate TDP-43 C-terminal fragments aggregation in Amyotrophic Lateral Sclerosis
Greta Grassmann, Mattia Miotto, Lorenzo Di Rienzo +7
Many of the molecular mechanisms underlying the pathological aggregation of proteins observed in neurodegenerative diseases are still not fully understood. Among the diseases assoc…
Structural analysis of SARS-CoV-2 and prediction of the human interactome
Andrea Vandelli, Michele Monti, Edoardo Milanetti +2
Specific elements of viral genomes regulate interactions within host cells. Here, we calculated the secondary structure content of >2500 coronaviruses and computed >100000 human pr…