Francesca Vitali, PhD
Francesca Vitali, PhD
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Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools
G Nicora, F Vitali, A Dagliati, N Geifman, R Bellazzi
Frontiers in Oncology 10 (1030), 2020
MTGO: PPI network analysis via topological and functional module identification
D Vella, S Marini, F Vitali, D Di Silvestre, G Mauri, R Bellazzi
Scientific reports 8 (1), 5499, 2018
A network-based data integration approach to support drug repurposing and multi-target therapies in triple negative breast cancer
F Vitali, LD Cohen, A Demartini, A Amato, V Eterno, A Zambelli, R Bellazzi
PloS one 11 (9), e0162407, 2016
Statin therapy and risk of Alzheimer's and age‐related neurodegenerative diseases
G Torrandell‐Haro, GL Branigan, F Vitali, N Geifman, JM Zissimopoulos, ...
Alzheimer's & dementia: translational research & clinical interventions 6 (1 …, 2020
Network-based target ranking for polypharmacological therapies
F Vitali, F Mulas, P Marini, R Bellazzi
Journal of Biomedical Informatics 46 (5), 876-881, 2013
Autologous micrograft accelerates endogenous wound healing response through ERK-induced cell migration
M Balli, F Vitali, A Janiszewski, E Caluwé, A Cortés-Calabuig, ...
Cell Death & Differentiation 27 (5), 1520-1538, 2020
Loss of fatty acid degradation by astrocytic mitochondria triggers neuroinflammation and neurodegeneration
Y Mi, G Qi, F Vitali, Y Shang, AC Raikes, T Wang, Y Jin, RD Brinton, H Gu, ...
Nature metabolism 5 (3), 445-465, 2023
A variant within the FTO confers susceptibility to diabetic nephropathy in Japanese patients with type 2 diabetes
M Taira, M Imamura, A Takahashi, Y Kamatani, T Yamauchi, S Araki, ...
PlosOne 13 (12), 2018
Developing a ‘personalome’for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes
F Vitali, Q Li, AG Schissler, J Berghout, C Kenost, YA Lussier
Briefings in bioinformatics 20 (3), 789-805, 2019
Patient similarity by joint matrix trifactorization to identify subgroups in acute myeloid leukemia
F Vitali, S Marini, D Pala, A Demartini, S Montoli, A Zambelli, R Bellazzi
JAMIA open 1 (1), 75-86, 2018
A tale of two systems: Lessons learned from female mid-life aging with implications for Alzheimer’s prevention & treatment
A Mishra, Y Wang, F Yin, F Vitali, KE Rodgers, M Soto, L Mosconi, T Wang, ...
Ageing research reviews 74, 101542, 2022
Evaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine
S Rachid Zaim, C Kenost, J Berghout, F Vitali, HH Zhang, YA Lussier
BMC medical genomics 12, 1-15, 2019
Protease target prediction via matrix factorization
S Marini*, F Vitali*, *(first co-author), S Rampazzi, A Demartini, T Akutsu
Bioinformatics, 2018
Novel disease syndromes unveiled by integrative multiscale network analysis of diseases sharing molecular effectors and comorbidities
H Li, J Fan, F Vitali, J Berghout, D Aberasturi, J Li, L Wilson, W Chiu, ...
BMC medical genomics 11, 1-15, 2018
Interpretation of ‘Omics dynamics in a single subject using local estimates of dispersion between two transcriptomes
Q Li, SR Zaim, D Aberasturi, J Berghout, H Li, F Vitali, C Kenost, ...
AMIA Annual Symposium Proceedings 2019, 582, 2019
Precision drug repurposing via convergent eQTL-based molecules and pathway targeting independent disease-associated polymorphisms
F Vitali, J Berghout, J Fan, J Li, Q Li, H Li, YA Lussier
BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 308-319, 2018
Exploring wound-healing genomic machinery with a network-based approach
F Vitali, S Marini, M Balli, H Grosemans, M Sampaolesi, YA Lussier, ...
Pharmaceuticals 10 (2), 55, 2017
A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
E Sauta, A Demartini, F Vitali, A Riva, R Bellazzi
BMC Bioinformatics 21 (219), 2020
Preventing Alzheimer's disease within reach by 2025: Targeted‐risk‐AD‐prevention (TRAP) strategy
F Vitali, GL Branigan, RD Brinton
Alzheimer's & Dementia: Translational Research & Clinical Interventions 7 (1 …, 2021
iDEG: a single-subject method utilizing local estimates of dispersion to impute differential expression between two transcriptomes
Q Li, SR Zaim, D Aberasturi, J Berghout, H Li, F Vitali, C Kenost, ...
bioRxiv, 405332, 2018
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