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David Martínez Enguita

PhD student in Bioinformatics (Health sciences; Biomedical and clinical sciences; Information and computing sciences)

Linköping, Sweden

Publications

  • Identification of core multi-omic disease modules in asthma
  • A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases
  • Genomically concordant multiple sclerosis multi-omic modules enriched for risk factors
  • Digital twins to personalize medicine
  • MODifieR: an ensemble R package for inference of disease modules from transcriptomics networks
  • Combined prenatal Lactobacillus reuteri and ω-3 supplementation synergistically modulates DNA methylation in neonatal T helper cells
  • Identification and Characterization of Human Activation-Induced ChAT+CD4+ T Cells
  • A validated generally applicable approach using the systematic assessment of disease modules by GWAS reveals a multi-omic module strongly associated with risk factors in multiple sclerosis
  • Data-driven representations using deep network-coherent methylation autoencoders to identify robust disease and risk factor signatures
  • Exploring the Biological Interaction Network Structure within the Compressed Space of Deep Methylation Autoencoders
  • New Data-Driven Gene Representations Using Deep Autoencoders at Multiple Omics to Identify Candidate Disease Genes and Robust Classifiers
  • Data-Driven Gene Representations Using Deep Autoencoders at Multiple Omics to Identify Candidate Disease Genes and Robust Classifiers
  • Cholinergic regulation of vascular endothelial function by human ChAT + T cells
  • NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures
  • A DNA Methylation Signature from Buccal Swabs to Identify Tuberculosis Infection
  • A DNA Methylation Signature From Buccal Swabs to Identify Tuberculosis Infection
  • Precise and interpretable neural networks reveal epigenetic signatures of aging in youth across health and disease
  • A DNA methylation signature identified in the buccal mucosa reflecting active tuberculosis is changing during tuberculosis treatment
  • Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease
  • Longitudinal epigenetic rewiring in lung immune cells in patients with post-COVID-19 condition
  • Identifying DNA Methylation Patterns in Post COVID-19 Condition: Insights from a One-Year Prospective Cohort Study

David Martínez Enguita's public data