14 citations · 22 across the 6 of their papers we have counts for
7 papers
VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks
Francesco Madeddu, Lucia Testa, Gianluca De Carlo +5
The intrinsic complexity of human biology presents ongoing challenges to scientific understanding. Researchers collaborate across disciplines to expand our knowledge of the biologi…
NIAPU: network-informed adaptive positive-unlabeled learning for disease gene identification
Paola Stolfi, Andrea Mastropietro, Giuseppe Pasculli +2
Gene-disease associations are fundamental for understanding disease etiology and developing effective interventions and treatments. Identifying genes not yet associated with a dise…
Flimma: a federated and privacy-preserving tool for differential gene expression analysis
Olga Zolotareva, Reza Nasirigerdeh, Julian Matschinske +9
Aggregating transcriptomics data across hospitals can increase sensitivity and robustness of differential expression analyses, yielding deeper clinical insights. As data exchange i…
Towards an unifying perspective of the fundamental properties and structural principles governing the immune system
Paolo Tieri, Gastone C. Castellani, Claudio Franceschi
In the study of the basic properties observed in the immune system and, in a broader view, in biological systems, several concepts have already been mathematically formulated or tr…
The immune system: look who's talking
Paolo Tieri
Human language and its governing rules present a number of analogies with the organization and structure of communication and information management in living organisms. This chapt…
Networks from gene expression time series: characterization of correlation patterns
D. Remondini, N. Neretti, J. M. Sedivy +4
This paper describes characteristic features of networks reconstructed from gene expression time series data. Several null models are considered in order to discriminate between in…