[HTML][HTML] Artificial intelligence for proteomics and biomarker discovery

M Mann, C Kumar, WF Zeng, MT Strauss - Cell systems, 2021 - cell.com
There is an avalanche of biomedical data generation and a parallel expansion in
computational capabilities to analyze and make sense of these data. Starting with genome …

[HTML][HTML] The role of metadata in reproducible computational research

J Leipzig, D Nüst, CT Hoyt, K Ram, J Greenberg - Patterns, 2021 - cell.com
Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

[HTML][HTML] Owl2vec*: Embedding of owl ontologies

J Chen, P Hu, E Jimenez-Ruiz, OM Holter… - Machine Learning, 2021 - Springer
Semantic embedding of knowledge graphs has been widely studied and used for prediction
and statistical analysis tasks across various domains such as Natural Language Processing …

GNN-SubNet: disease subnetwork detection with explainable graph neural networks

B Pfeifer, A Saranti, A Holzinger - Bioinformatics, 2022 - academic.oup.com
Motivation The tremendous success of graphical neural networks (GNNs) already had a
major impact on systems biology research. For example, GNNs are currently being used for …

DeepGOZero: improving protein function prediction from sequence and zero-shot learning based on ontology axioms

M Kulmanov, R Hoehndorf - Bioinformatics, 2022 - academic.oup.com
Motivation Protein functions are often described using the Gene Ontology (GO) which is an
ontology consisting of over 50 000 classes and a large set of formal axioms. Predicting the …

TransformerGO: predicting protein–protein interactions by modelling the attention between sets of gene ontology terms

I Ieremie, RM Ewing, M Niranjan - Bioinformatics, 2022 - academic.oup.com
Abstract Motivation Protein–protein interactions (PPIs) play a key role in diverse biological
processes but only a small subset of the interactions has been experimentally identified …

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

R Zgheib, G Chahbandarian, F Kamalov, H El Messiry… - Neurocomputing, 2023 - Elsevier
The connection between humans and digital technologies has been documented
extensively in the past decades but needs to be evaluated through the current global …

[HTML][HTML] The infectious disease ontology in the age of COVID-19

S Babcock, J Beverley, LG Cowell, B Smith - Journal of biomedical …, 2021 - Springer
Background Effective response to public health emergencies, such as we are now
experiencing with COVID-19, requires data sharing across multiple disciplines and data …

Augmenting ontology alignment by semantic embedding and distant supervision

J Chen, E Jiménez-Ruiz, I Horrocks… - The Semantic Web: 18th …, 2021 - Springer
Ontology alignment plays a critical role in knowledge integration and has been widely
investigated in the past decades. State of the art systems, however, still have considerable …

[HTML][HTML] Protein function prediction as approximate semantic entailment

M Kulmanov, FJ Guzmán-Vega… - Nature Machine …, 2024 - nature.com
Abstract The Gene Ontology (GO) is a formal, axiomatic theory with over 100,000 axioms
that describe the molecular functions, biological processes and cellular locations of proteins …