Datasets as Topic

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  Subject Areas on Research

  • 2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for Primary Sjögren's Syndrome: A Consensus and Data-Driven Methodology Involving Three International Patient Cohorts. 
  • A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images. 
  • A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre. 
  • A functional genomics predictive network model identifies regulators of inflammatory bowel disease. 
  • A genetically defined disease model reveals that urothelial cells can initiate divergent bladder cancer phenotypes. 
  • A global reference for human genetic variation. 
  • A longitudinal analysis of data quality in a large pediatric data research network. 
  • A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases. 
  • A signature of epithelial-mesenchymal plasticity and stromal activation in primary tumor modulates late recurrence in breast cancer independent of disease subtype. 
  • A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex. 
  • A unified framework for personalized regions selection and functional relation modeling for early MCI identification. 
  • An Open Resource for Non-human Primate Imaging. 
  • An evaluation of copy number variation detection tools from whole-exome sequencing data. 
  • An integrative model of pathway convergence in genetically heterogeneous blast crisis chronic myeloid leukemia. 
  • Assessment of the genetic variance of late-onset Alzheimer's disease. 
  • Associations between RNA splicing regulatory variants of stemness-related genes and racial disparities in susceptibility to prostate cancer. 
  • Atherosclerotic renal artery stenosis in the post-CORAL era part 1: the renal penumbra concept and next-generation functional diagnostic imaging. 
  • Atomic connectomics signatures for characterization and differentiation of mild cognitive impairment. 
  • Big data, data science, and big contributions. 
  • Big data: More than big data sets. 
  • Canonical feature selection for joint regression and multi-class identification in Alzheimer's disease diagnosis. 
  • Cefazolin pharmacokinetics in premature infants. 
  • Classification of crystallization outcomes using deep convolutional neural networks. 
  • Comprehensive functional genomic resource and integrative model for the human brain. 
  • Connectome-scale assessments of structural and functional connectivity in MCI. 
  • Contribution of proteasome-catalyzed peptide cis-splicing to viral targeting by CD8+ T cells in HIV-1 infection. 
  • Current applications of big data in obstetric anesthesiology. 
  • DNA methylation atlas of the mouse brain at single-cell resolution. 
  • DNA methylation signatures reflect aging in patients with nonalcoholic steatohepatitis. 
  • Dataset for the reporting of carcinoma of the esophagus in resection specimens: recommendations from the International Collaboration on Cancer Reporting. 
  • Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs. 
  • Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study. 
  • Detection of differentially abundant cell subpopulations in scRNA-seq data. 
  • Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation. 
  • Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes. 
  • Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling. 
  • Disparities between Operative Time and Relative Value Units for Plastic Surgery Procedures. 
  • Dynamic treatment regimes, past, present, and future: A conversation with experts. 
  • Epithelial NOTCH Signaling Rewires the Tumor Microenvironment of Colorectal Cancer to Drive Poor-Prognosis Subtypes and Metastasis. 
  • Estimating the association between blood pressure variability and cardiovascular disease: An application using the ARIC Study. 
  • Estimation of Body Fat Percentage for Clinical Pharmacokinetic Studies in Children. 
  • Estimation of immune cell content in tumor using single-cell RNA-seq reference data. 
  • Evaluation of the Genetic Variance of Alzheimer's Disease Explained by the Disease-Associated Chromosomal Regions. 
  • Four health data networks illustrate the potential for a shared national multipurpose big-data network. 
  • Genetic variance in fitness indicates rapid contemporary adaptive evolution in wild animals. 
  • Genetic variants in ELOVL2 and HSD17B12 predict melanoma-specific survival. 
  • Genetic variants in the PIWI-piRNA pathway gene DCP1A predict melanoma disease-specific survival. 
  • Genetic variants of genes in the NER pathway associated with risk of breast cancer: A large-scale analysis of 14 published GWAS datasets in the DRIVE study. 
  • Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types. 
  • Give long-term datasets World Heritage status. 
  • Glioma incidence and survival variations by county-level socioeconomic measures. 
  • Graph auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets. 
  • HIPAA and the Leak of "Deidentified" EHR Data. 
  • Impact of Cognitive Impairment Across Specialties: Summary of a Report From the U13 Conference Series. 
  • Implementation of a Regional Perinatal Data Repository from Clinical and Billing Records. 
  • Imputation of confidential data sets with spatial locations using disease mapping models. 
  • Increasing incidence of the neonatal abstinence syndrome in U.S. neonatal ICUs. 
  • International meta-analysis of PTSD genome-wide association studies identifies sex- and ancestry-specific genetic risk loci. 
  • Introducing the Medical Physics Dataset Article. 
  • Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions. 
  • Longitudinal multi-omics of host-microbe dynamics in prediabetes. 
  • Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. 
  • Metastatic breast cancers have reduced immune cell recruitment but harbor increased macrophages relative to their matched primary tumors. 
  • Molprobity's ultimate rotamer-library distributions for model validation. 
  • Obesity and altered angiogenic-related gene expression in endometrial cancer. 
  • Open data and digital morphology. 
  • PBRNS discuss utilizing big data for research and within a learning health system. 
  • Perioperative Complications in Minimally Invasive Sacrocolpopexy Versus Transvaginal Mesh in the Management of Pelvic Organ Prolapse: Analysis of a National Multi-institutional Dataset. 
  • Potentially functional genetic variants in PLIN2, SULT2A1 and UGT1A9 genes of the ketone pathway and survival of nonsmall cell lung cancer. 
  • Potentially functional genetic variants in the complement-related immunity gene-set are associated with non-small cell lung cancer survival. 
  • Prediction Models - Development, Evaluation, and Clinical Application. 
  • Quantification of DNA cleavage specificity in Hi-C experiments. 
  • QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy. 
  • RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data. 
  • Race and Insurance Status as Predictors of Bicycle Trauma Outcome in Adults. 
  • Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function. 
  • RasGRP1 is a potential biomarker to stratify anti-EGFR therapy response in colorectal cancer. 
  • Relationship of DNA methylation to mutational changes and transcriptional organization in fusion-positive and fusion-negative rhabdomyosarcoma. 
  • Relationships between the Nicotine Metabolite Ratio and a Panel of Exposure and Effect Biomarkers: Findings from Two Studies of U.S. Commercial Cigarette Smokers. 
  • Report of the NIH Task Force on Research Standards for Chronic Low Back Pain. 
  • Selection of Informative Examples in Chemogenomic Datasets. 
  • Serum cholesterol and risk of lower urinary tract symptoms progression: Results from the Reduction by Dutasteride of Prostate Cancer Events study. 
  • Sex dependent glial-specific changes in the chromatin accessibility landscape in late-onset Alzheimer's disease brains. 
  • Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics. 
  • Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data. 
  • Systematic comparison of published host gene expression signatures for bacterial/viral discrimination. 
  • T2-weighted four dimensional magnetic resonance imaging with result-driven phase sorting. 
  • Testosterone Pathway Genetic Polymorphisms in Relation to Primary Open-Angle Glaucoma: An Analysis in Two Large Datasets. 
  • The Confidence Database. 
  • The Evolution of Breast Satisfaction and Well-Being after Breast Cancer: A Propensity-Matched Comparison to the Norm. 
  • The FDA Sentinel Initiative - An Evolving National Resource. 
  • The Genomic Landscape of Actinic Keratosis. 
  • The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5-21 year olds. 
  • The development of a population of 4D pediatric XCAT phantoms for imaging research and optimization. 
  • The devil is in the details: Assessing treatment and outcomes of 6,795 patients undergoing remedial parathyroidectomy in the Collaborative Endocrine Surgery Quality Improvement Program. 
  • The use of big data in manual physiotherapy. 
  • The whole-genome landscape of medulloblastoma subtypes. 
  • Toward a Shared Vision for Cancer Genomic Data. 
  • Trauma exposure and sleep disturbance in a sample of youth from the National Child Traumatic Stress Network Core Data Set. 
  • Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters. 
  • Upregulated heme biosynthesis increases obstructive sleep apnea severity: a pathway-based Mendelian randomization study. 
  • Use of normalized prediction distribution errors for assessing population physiologically-based pharmacokinetic model adequacy. 
  • Variability in the analysis of a single neuroimaging dataset by many teams. 
  • WebDISCO: a web service for distributed cox model learning without patient-level data sharing. 
  • hemaClass.org: Online One-By-One Microarray Normalization and Classification of Hematological Cancers for Precision Medicine.