Research graph
References from Integrative multi-omics and network biology in cardiovascular disease: a systems-level framework for translational discovery. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning methods improve prognostication, identify clinically distinct phenotypes, and detect heterogeneity in response to therapy in a large cohort of heart failure patients
10.1161/jaha.117.008081 · 2018 · External reference
Genomic data in the all of us research program
10.1038/s41586-023-06957-x · 2024 · External reference
Functional characterization of somatic mutations in cancer using network-based inference of protein activity
10.1038/ng.3593 · 2016 · External reference
Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior
10.3389/frai.2025.1622292 · 2025 · External reference
MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data
10.1186/s13059-020-02015-1 · 2020 · External reference
Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram
10.1038/s41591-018-0240-2 · 2019 · External reference
Effective gene expression prediction from sequence by integrating long-range interactions
10.1038/s41592-021-01252-x · 2021 · External reference
NCBI GEO: archive for functional genomics data sets--update
10.1093/nar/gks1193 · 2013 · External reference
The technological landscape and applications of single-cell multi-omics
10.1038/s41580-023-00615-w · 2023 · External reference
Tissue specificity and the human protein interaction network
10.1038/msb.2009.17 · 2009 · External reference
Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors
10.1007/s10654-015-0011-z · 2015 · External reference
Network-based approach to prediction and population-based validation of in silico drug repurposing
10.1038/s41467-018-05116-5 · 2018 · External reference
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
10.1016/j.jclinepi.2019.02.004 · 2019 · External reference
Sequence variations in PCSK9, low LDL, and protection against coronary heart disease
10.1056/nejmoa054013 · 2006 · External reference
The chromatin accessibility landscape of primary human cancers
10.1126/science.aav1898 · 2018 · External reference
Nucleotide Transformer: building and evaluating robust foundation models for human genomics
10.1038/s41592-024-02523-z · 2025 · External reference
Genetic and pharmacologic inactivation of ANGPTL3 and cardiovascular disease
10.1056/nejmoa1612790 · 2017 · External reference
Region and cell-type resolved quantitative proteomic map of the human heart
10.1038/s41467-017-01747-2 · 2017 · External reference
Heterogeneity in heart failure with preserved ejection fraction: a systematic review of phenotypic classifications and clinical implications
10.3390/jcm14144820 · 2025 · External reference
Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traits
10.1186/s12920-019-0542-3 · 2019 · External reference
Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges
10.1093/eurheartj/ehw302 · 2017 · External reference
Risk profiles in heart failure
10.1161/circheartfailure.120.007132 · 2020 · External reference
Unresolved reference
2026 · External reference
Network-based in silico drug efficacy screening
10.1038/ncomms10331 · 2016 · External reference
Kruppel-like factors (KLFs) in muscle biology
10.1016/j.yjmcc.2007.04.005 · 2007 · External reference
Genome-wide analysis identifies novel susceptibility loci for myocardial infarction
10.1093/eurheartj/ehaa1040 · 2021 · External reference
Circular non-coding RNA ANRIL modulates ribosomal RNA maturation and atherosclerosis in humans
10.1038/ncomms12429 · 2016 · External reference
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
10.1038/s41576-018-0004-3 · 2018 · External reference
SkipGNN: predicting molecular interactions with skip-graph networks
10.1038/s41598-020-77766-9 · 2020 · External reference
UK biobank CardioMetabolic consortium CHD working group. Genomic risk prediction of coronary artery disease in 480,000 adults: implications for primary prevention
10.1016/j.jacc.2018.07.079 · 2018 · External reference
Inference and analysis of cell-cell communication using CellChat
10.1038/s41467-021-21246-9 · 2021 · External reference
Systems biology in cardiovascular disease: a multiomics approach
10.1038/s41569-020-00477-1 · 2021 · External reference
Single-cell profiling reveals cooperative participation of SPP1+ myeloid and POSTN+ fibroblast subsets in inflammation and remodeling in thoracic aortic aneurysm
10.7150/ijms.124136 · 2026 · External reference
DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
10.1186/s12874-018-0482-1 · 2018 · External reference
Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations
10.1038/s41588-018-0183-z · 2018 · External reference
Genome-wide association study of thoracic aortic aneurysm and dissection in the million veteran program
10.1038/s41588-023-01420-z · 2023 · External reference
Spatial multi-omic map of human myocardial infarction
10.1038/s41586-022-05060-x · 2022 · External reference
WGCNA: an R package for weighted correlation network analysis
10.1186/1471-2105-9-559 · 2008 · External reference
Single-cell transcriptomics reveal distinctive patterns of fibroblast activation in heart failure with preserved ejection fraction
10.1007/s00395-024-01074-w · 2024 · External reference
Tackling the widespread and critical impact of batch effects in high-throughput data
10.1038/nrg2825 · 2010 · External reference
Epigenetic modifications in abdominal aortic aneurysms: from basic to clinical
10.3389/fcvm.2024.1394889 · 2024 · External reference
Cardiac energy metabolism in heart failure
10.1161/circresaha.121.318241 · 2021 · External reference
Deep generative modeling for single-cell transcriptomics
10.1038/s41592-018-0229-2 · 2018 · External reference
A unified approach to interpreting model predictions
10.5555/3295222.3295230 · 2017 · External reference
A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information
10.1038/s41467-017-00680-8 · 2017 · External reference
Forecasting the burden of cardiovascular disease and stroke in women in the United States through 2050: a scientific statement from the American heart association
10.1161/cir.0000000000001406 · 2026 · External reference
In-depth computational analysis reveals the significant dysregulation of key gap junction proteins (GJPs) driving thoracic aortic aneurysm development
10.1016/j.hjc.2025.01.001 · 2025 · External reference
Transcriptomic analysis exploring the role of aquaporins in the pathogenesis of thoracic aortic aneurysm
10.1016/j.athoracsur.2025.08.015 · External reference
Family-wide dysregulation of phosphodiesterases alters cAMP/cGMP microdomains in thoracic aortic aneurysm
10.3390/jcdd13010023 · External reference
Relaxin reverses inflammatory and immune signals in aged hearts
10.1371/journal.pone.0190935 · 2018 · External reference
Clinical use of current polygenic risk scores may exacerbate health disparities
10.1038/s41588-019-0379-x · 2019 · External reference
UMAP: uniform manifold approximation and projection for dimension reduction
10.48550/arxiv.1802.03426 · 2018 · External reference
Dimension reduction techniques for the integrative analysis of multi-omics data
10.1093/bib/bbv108 · 2016 · External reference
Multi-omics analysis identified extracellular vesicles as biomarkers for cardiovascular diseases
10.1016/j.talanta.2024.126710 · 2024 · External reference
Epigenome-wide association of myocardial infarction with DNA methylation sites at loci related to cardiovascular disease
10.1186/s13148-017-0353-3 · 2017 · External reference
Unresolved reference
2026 · External reference
The support of human genetic evidence for approved drug indications
10.1038/ng.3314 · 2015 · External reference
Single-cell RNA sequencing in cardiovascular development, disease and medicine
10.1038/s41569-020-0359-y · 2020 · External reference
Genome-wide analysis of histone marks identifying an epigenetic signature of promoters and enhancers underlying cardiac hypertrophy
10.1073/pnas.1315155110 · 2013 · External reference
A multi-ancestry polygenic risk score improves risk prediction for coronary artery disease
10.1038/s41591-023-02429-x · 2023 · External reference
Noncoding RNAs as regulators of cardiomyocyte proliferation and death
10.1016/j.yjmcc.2015.02.002 · 2015 · External reference
Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathy
10.1038/s41467-020-15823-7 · 2020 · External reference
Advances in single-cell transcriptomics: unraveling the pathogenesis of calcific aortic valve disease
10.1093/cvr/cvaf255 · 2026 · External reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
Increased apolipoprotein-B:A1 ratio predicts cardiometabolic risk in patients with juvenile onset SLE
10.1016/j.ebiom.2021.103243 · 2021 · External reference
Phenomapping for novel classification of heart failure with preserved ejection fraction
10.1161/circulationaha.114.010637 · 2015 · External reference
CRISPR screening in cardiovascular research
10.3389/fcell.2023.1175849 · 2023 · External reference
Integrative subtype discovery in glioblastoma using iCluster
10.1371/journal.pone.0035236 · 2012 · External reference
Multi-omics data integration, interpretation, and its application
10.1177/1177932219899051 · 2020 · External reference
UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age
10.1371/journal.pmed.1001779 · 2015 · External reference
Genomic atlas of the human plasma proteome
10.1038/s41586-018-0175-2 · 2018 · External reference
Plasma proteomic associations with genetics and health in the UK Biobank
10.1038/s41586-023-06592-6 · 2023 · External reference
The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets
10.1093/nar/gkaa1074 · 2021 · External reference
Exercise training protects against acute myocardial infarction via improving myocardial energy metabolism and mitochondrial biogenesis
10.1159/000430342 · 2015 · External reference
10.1101/2024.08.06.606846
10.1101/2024.08.06.606846 · 2024 · External reference
Metabolomic biomarkers in heart failure: a systematic review of diagnostic and prognostic significance
10.7759/cureus.97636 · 2025 · External reference
From classical Mendelian randomization to causal networks for systematic integration of multi-omics
10.3389/fgene.2022.990486 · 2022 · External reference
Identification of co-diagnostic effect genes for aortic dissection and metabolic syndrome by multiple machine learning algorithms
10.1038/s41598-023-41017-4 · 2023 · External reference
Single-cell spatial transcriptomics unravels the cellular landscape of abdominal aortic aneurysm
10.1172/jci.insight.190534 · 2025 · External reference
OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics
10.1093/nar/gkac376 · 2022 · External reference
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
10.1038/ng.3538 · 2016 · External reference
Modeling polypharmacy side effects with graph convolutional networks
10.1093/bioinformatics/bty294 · 2018 · External reference
