Quantifying transcriptome diversity: a review

EF Jones, A Haldar, VH Oza… - Briefings in Functional …, 2024 - academic.oup.com
Following the central dogma of molecular biology, gene expression heterogeneity can aid in
predicting and explaining the wide variety of protein products, functions and, ultimately …

[HTML][HTML] A primer on machine learning techniques for genomic applications

A Monaco, E Pantaleo, N Amoroso… - Computational and …, 2021 - Elsevier
High throughput sequencing technologies have enabled the study of complex biological
aspects at single nucleotide resolution, opening the big data era. The analysis of large …

[HTML][HTML] Territorial bias in university rankings: a complex network approach

L Bellantuono, A Monaco, N Amoroso, V Aquaro… - Scientific reports, 2022 - nature.com
University rankings are increasingly adopted for academic comparison and success
quantification, even to establish performance-based criteria for funding assignment …

[HTML][HTML] Sustainable development goals: conceptualization, communication and achievement synergies in a complex network framework

L Bellantuono, A Monaco, N Amoroso, V Aquaro… - Applied Network …, 2022 - Springer
In this work we use a network-based approach to investigate the complex system of
interactions among the 17 Sustainable Development Goals (SDGs), that constitute the …

[HTML][HTML] AI-DrugNet: A network-based deep learning model for drug repurposing and combination therapy in neurological disorders

X Pan, J Yun, ZHC Akdemir, X Jiang, E Wu… - Computational and …, 2023 - Elsevier
Discovering effective therapies is difficult for neurological and developmental disorders in
that disease progression is often associated with a complex and interactive mechanism …

[HTML][HTML] Detecting the socio-economic drivers of confidence in government with eXplainable Artificial Intelligence

L Bellantuono, F Palmisano, N Amoroso, A Monaco… - Scientific Reports, 2023 - nature.com
Abstract The European Quality of Government Index (EQI) measures the perceived level of
government quality by European Union citizens, combining surveys on corruption …

[HTML][HTML] An equity-oriented rethink of global rankings with complex networks mapping development

L Bellantuono, A Monaco, S Tangaro, N Amoroso… - Scientific Reports, 2020 - nature.com
Nowadays, world rankings are promoted and used by international agencies, governments
and corporations to evaluate country performances in a specific domain, often providing a …

[HTML][HTML] Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis

L Bellantuono, A Monaco, N Amoroso… - Frontiers in big …, 2022 - frontiersin.org
Introduction Dementia is an umbrella term indicating a group of diseases that affect the
cognitive sphere. Dementia is not a mere individual health issue, since its interference with …

Identifying potential gene biomarkers for Parkinson's disease through an information entropy based approach

A Monaco, E Pantaleo, N Amoroso… - Physical …, 2020 - iopscience.iop.org
Parkinson's disease (PD) is a chronic, progressive neurodegenerative disease and
represents the most common disease of this type, after Alzheimer's dementia. It is …

[HTML][HTML] Machine learning and XAI approaches highlight the strong connection between and pollutants and Alzheimer's disease

A Fania, A Monaco, N Amoroso, L Bellantuono… - Scientific Reports, 2024 - nature.com
Alzheimer's disease (AD) is the most common type of dementia with millions of affected
patients worldwide. Currently, there is still no cure and AD is often diagnosed long time after …