| scholarly article | Q13442814 |
| P50 | author | Kipp W. Johnson | Q52812470 |
| Benjamin S Glicksberg | Q56344761 | ||
| Iftikhar J Kullo | Q93203286 | ||
| P2093 | author name string | Joel T Dudley | |
| Khader Shameer | |||
| Ben Readhead | |||
| Garrett Dow | |||
| Max S Tomlinson | |||
| Yi Ze | |||
| P2860 | cites work | A dynamic network approach for the study of human phenotypes | Q21145365 |
| The human disease network | Q24678240 | ||
| Network biology: understanding the cell's functional organization | Q27861027 | ||
| The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study | Q29417153 | ||
| Lethality and centrality in protein networks | Q29547267 | ||
| A new method of classifying prognostic comorbidity in longitudinal studies: development and validation | Q29547376 | ||
| A human phenome-interactome network of protein complexes implicated in genetic disorders | Q29614448 | ||
| Personal omics profiling reveals dynamic molecular and medical phenotypes | Q29614800 | ||
| Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease | Q29619085 | ||
| Computational drug repositioning for peripheral arterial disease: prediction of anti-inflammatory and pro-angiogenic therapeutics | Q30278668 | ||
| Computational and experimental advances in drug repositioning for accelerated therapeutic stratification | Q30487562 | ||
| Comorbidity Measures for Use with Administrative Data | Q32144770 | ||
| Gene Prospector: an evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases | Q33390788 | ||
| Cardiovascular networks: systems-based approaches to cardiovascular disease | Q33717801 | ||
| CRISPR/Cas9-mediated ApoE-/- and LDLR-/- double gene knockout in pigs elevates serum LDL-C and TC levels | Q33914125 | ||
| Discovery and preclinical validation of drug indications using compendia of public gene expression data | Q33995422 | ||
| Understanding protein-nanoparticle interaction: a new gateway to disease therapeutics. | Q34025939 | ||
| Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease | Q34371896 | ||
| Protein localization as a principal feature of the etiology and comorbidity of genetic diseases | Q35088894 | ||
| Exploiting drug-disease relationships for computational drug repositioning | Q35109885 | ||
| Disease modeling and phenotypic drug screening for diabetic cardiomyopathy using human induced pluripotent stem cells. | Q35463524 | ||
| Complex-disease networks of trait-associated single-nucleotide polymorphisms (SNPs) unveiled by information theory. | Q35751212 | ||
| Nitric oxide and arterial disease | Q35817914 | ||
| Survival in patients with poorly compressible leg arteries | Q35838381 | ||
| Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks | Q36053748 | ||
| Gene expression profiling of peripheral blood mononuclear cells in the setting of peripheral arterial disease. | Q36054090 | ||
| Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database | Q36461180 | ||
| Network properties of genes harboring inherited disease mutations | Q36670355 | ||
| In silico methods for drug repurposing and pharmacology | Q36837816 | ||
| Characterization of drug-induced transcriptional modules: towards drug repositioning and functional understanding | Q36856689 | ||
| Long-term pleiotropic effect of statins upon nitric oxide and C-reactive protein levels in patients with peripheral arterial disease | Q36982646 | ||
| Protein networks in disease | Q37125547 | ||
| Genetics of peripheral artery disease | Q37127078 | ||
| Cancer metastasis networks and the prediction of progression patterns | Q37330786 | ||
| A systems-based framework for understanding complex metabolic and cardiovascular disorders | Q37334581 | ||
| A drug repositioning approach identifies tricyclic antidepressants as inhibitors of small cell lung cancer and other neuroendocrine tumors. | Q37395737 | ||
| Evolution of biomolecular networks: lessons from metabolic and protein interactions | Q37620156 | ||
| Peripheral Artery Disease and Genetics: Is There a Cause-and-Effect Relationship? | Q37777012 | ||
| Addressing the complexity of chronic obstructive pulmonary disease: from phenotypes and biomarkers to scale-free networks, systems biology, and P4 medicine | Q37822219 | ||
| Deciphering the molecular basis of human cardiovascular disease through network biology | Q37989807 | ||
| An integrative pipeline for multi-modal discovery of disease relationships | Q38467857 | ||
| Hubs in biological interaction networks exhibit low changes in expression in experimental asthma | Q42801052 | ||
| The impact of cellular networks on disease comorbidity | Q43125319 | ||
| A network view of disease and compound screening | Q44111868 | ||
| Gold Nanoparticle Reprograms Pancreatic Tumor Microenvironment and Inhibits Tumor Growth. | Q51376589 | ||
| A navigator for human genome epidemiology | Q51895975 | ||
| Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine | Q62743772 | ||
| P4510 | describes a project that uses | Cytoscape | Q3699942 |
| P921 | main subject | drug repositioning | Q5308921 |
| P304 | page(s) | 108-117 | |
| P577 | publication date | 2018-05-18 | |
| P1433 | published in | AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science | Q27723308 |
| P1476 | title | A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease. | |
| P478 | volume | 2017 |
| Q58739330 | Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining | cites work | P2860 |
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