Daniel Domingo-Fernández

Orcid: 0000-0002-2046-6145

According to our database1, Daniel Domingo-Fernández authored at least 26 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

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

A Comprehensive Evaluation of Biomedical Entity Linking Models.
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

Integrative data semantics through a model-enabled data stewardship.
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

On the influence of several factors on pathway enrichment analysis.
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
Drug2ways: Reasoning over causal paths in biological networks for drug discovery.
PLoS Comput. Biol., 2020

PS4DR: a multimodal workflow for identification and prioritization of drugs based on pathway signatures.
BMC Bioinform., 2020

2019
Computational Analysis of Pathophysiological Mechanisms Based on Pathway Modeling
PhD thesis, 2019

PathMe: merging and exploring mechanistic pathway knowledge.
BMC Bioinform., 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

Predicting Missing Links Using PyKEEN.
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


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