Data integration challenges for machine learning in precision medicine

M Martínez-García, E Hernández-Lemus - Frontiers in medicine, 2022 - frontiersin.org
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …

A conceptual model for geo-online exploratory data visualization: The case of the covid-19 pandemic

A Bernasconi, S Grandi - Information, 2021 - mdpi.com
Responding to the recent COVID-19 outbreak, several organizations and private citizens
considered the opportunity to design and publish online explanatory data visualization tools …

Exploiting Omic-based Approaches to Decipher Traditional Chinese Medicine

L Li, Y Guan, Y Du, Z Chen, H Xie, K Lu, J Kang… - Journal of …, 2024 - Elsevier
Abstract Ethnopharmacological relevance Traditional Chinese Medicine (TCM), an ancient
health system, faces significant research challenges due to the complexity of its active …

Empowering virus sequence research through conceptual modeling

A Bernasconi, A Canakoglu, P Pinoli, S Ceri - Conceptual Modeling: 39th …, 2020 - Springer
The pandemic outbreak of the coronavirus disease has attracted attention towards the
genetic mechanisms of viruses. We hereby present the Viral Conceptual Model (VCM) …

GeCoAgent: a conversational agent for empowering genomic data extraction and analysis

P Crovari, S Pidò, P Pinoli, A Bernasconi… - ACM Transactions on …, 2021 - dl.acm.org
With the availability of reliable and low-cost DNA sequencing, human genomics is relevant
to a growing number of end-users, including biologists and clinicians. Typical interactions …

GeMI: interactive interface for transformer-based Genomic Metadata Integration

G Serna Garcia, M Leone, A Bernasconi… - Database, 2022 - academic.oup.com
Abstract The Gene Expression Omnibus (GEO) is a public archive containing> 4 million
digital samples from functional genomics experiments collected over almost two decades …

[HTML][HTML] Data quality-aware genomic data integration

A Bernasconi - Computer Methods and Programs in Biomedicine …, 2021 - Elsevier
Genomic data are growing at unprecedented pace, along with new protocols, update
polices, formats and guidelines, terminologies and ontologies, which are made available …

Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing

Y Park, AC Hauschild, D Heider - NAR genomics and …, 2021 - academic.oup.com
Tremendous advances in next-generation sequencing technology have enabled the
accumulation of large amounts of omics data in various research areas over the past …

[HTML][HTML] PoliViews: A comprehensive and modular approach to the conceptual modeling of genomic data

A Bernasconi, A García, S Ceri, O Pastor - Data & Knowledge Engineering, 2023 - Elsevier
The human genome complexity is captured by many signals, representing for instance DNA
variations, the expression of gene activity, or DNA's structural rearrangements; a rich set of …

A comprehensive approach for the conceptual modeling of genomic data

A Bernasconi, A García S, S Ceri, O Pastor - International Conference on …, 2022 - Springer
The human genome is traditionally represented as a DNA sequence of three billion base
pairs. However, its intricacies are captured by many more complex signals, representing …