Daniel Domingo-Fernández
Orcid: 0000-0002-2046-6145
According to our database1,
Daniel Domingo-Fernández
authored at least 29 papers
between 2017 and 2024.
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Online presence:
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on twitter.com
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on orkg.org
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
Evaluating the generalizability of graph neural networks for predicting collision cross section.
J. Cheminformatics, December, 2024
Curating, Collecting, and Cataloguing Global COVID-19 Datasets for the Aim of Predicting Personalized Risk.
Data, 2024
2023
Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.
J. Cheminformatics, December, 2023
On the correspondence between the transcriptomic response of a compound and its effects on its targets.
BMC Bioinform., December, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery.
PLoS Comput. Biol., 2022
Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasets.
BMC Bioinform., 2022
Bioinform., 2022
STonKGs: a sophisticated transformer trained on biomedical text and knowledge graphs.
Bioinform., 2022
Ensembles of knowledge graph embedding models improve predictions for drug discovery.
Briefings Bioinform., 2022
Briefings Bioinform., 2022
ProtSTonKGs: A Sophisticated Transformer Trained on Protein Sequences, Text, and Knowledge Graphs.
Proceedings of the 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, 2022
2021
MultiPaths: a Python framework for analyzing multi-layer biological networks using diffusion algorithms.
Bioinform., 2021
COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology.
Bioinform., 2021
CLEP: a hybrid data- and knowledge-driven framework for generating patient representations.
Bioinform., 2021
2020
PLoS Comput. Biol., 2020
PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures.
BMC Bioinform., 2020
2019
PhD thesis, 2019
BioKEEN: a library for learning and evaluating biological knowledge graph embeddings.
Bioinform., 2019
Re-curation and rational enrichment of knowledge graphs in Biological Expression Language.
Database J. Biol. Databases Curation, 2019
PTSD Biomarker Database: deep dive metadatabase for PTSD biomarkers, visualizations and analysis tools.
Database J. Biol. Databases Curation, 2019
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019
RatVec: A General Approach for Low-dimensional Distributed Vector Representations via Rational Kernels.
Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", Berlin, Germany, September 30, 2019
2018
BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language.
Database J. Biol. Databases Curation, 2018
A systematic approach for identifying shared mechanisms in epilepsy and its comorbidities.
Database J. Biol. Databases Curation, 2018
2017
Multimodal mechanistic signatures for neurodegenerative diseases (NeuroMMSig): a web server for mechanism enrichment.
Bioinform., 2017