Joaquín
Dopazo Blázquez
Publicaciones en las que colabora con Joaquín Dopazo Blázquez (37)
2024
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The mechanistic functional landscape of retinitis pigmentosa: a machine learning-driven approach to therapeutic target discovery
Journal of translational medicine, Vol. 22, Núm. 1, pp. 139
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drexml: A command line tool and Python package for drug repurposing
Computational and Structural Biotechnology Journal, Vol. 23, pp. 1129-1143
2023
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A Comprehensive Analysis of 21 Actionable Pharmacogenes in the Spanish Population: From Genetic Characterisation to Clinical Impact
Pharmaceutics, Vol. 15, Núm. 4
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A crowdsourcing database for the copy-number variation of the Spanish population
Human Genomics, Vol. 17, Núm. 1
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Cell-Level Pathway Scoring Comparison with a Biologically Constrained Variational Autoencoder
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Crosstalk between Metabolite Production and Signaling Activity in Breast Cancer
International Journal of Molecular Sciences, Vol. 24, Núm. 8
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Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches
Frontiers in Immunology, Vol. 14
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Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models
International Journal of Molecular Sciences, Vol. 24, Núm. 19
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Real-world evidence with a retrospective cohort of 15,968 COVID-19 hospitalized patients suggests 21 new effective treatments
Virology Journal, Vol. 20, Núm. 1
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SigPrimedNet: A Signaling-Informed Neural Network for scRNA-seq Annotation of Known and Unknown Cell Types
Biology, Vol. 12, Núm. 4
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Visualization of automatically combined disease maps and pathway diagrams for rare diseases
Frontiers in Bioinformatics, Vol. 3
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microRNAs-mediated regulation of insulin signaling in white adipose tissue during aging: Role of caloric restriction
Aging Cell, Vol. 22, Núm. 11
2022
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Assessing the Impact of SARS-CoV-2 Lineages and Mutations on Patient Survival
Viruses, Vol. 14, Núm. 9
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Discovering potential interactions between rare diseases and COVID-19 by combining mechanistic models of viral infection with statistical modeling
Human molecular genetics, Vol. 31, Núm. 12, pp. 2078-2089
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Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data
BioData Mining, Vol. 15, Núm. 1
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Towards a metagenomics machine learning interpretable model for understanding the transition from adenoma to colorectal cancer
Scientific Reports, Vol. 12, Núm. 1
2021
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A DNA damage repair gene-associated signature predicts responses of patients with advanced soft-tissue sarcoma to treatment with trabectedin
Molecular Oncology, Vol. 15, Núm. 12, pp. 3691-3705
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A comprehensive database for integrated analysis of omics data in autoimmune diseases
BMC Bioinformatics, Vol. 22, Núm. 1
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A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways
PLoS Computational Biology, Vol. 17, Núm. 2
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COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
Molecular Systems Biology, Vol. 17, Núm. 10