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Mostrando 481 - 500 Resultados de 2,862 Para Buscar '"data integrity"', tiempo de consulta: 2.57s Limitar resultados
  1. 481
    “…RESULTS: We developed an approach for intelligent data integration of two cancer datasets (breast cancer and neuroblastoma) − provided in the CAMDA 2018 ‘Cancer Data Integration Challenge’, and compared models for prediction of survival time. …”
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    A novel framework for horizontal and vertical data integration in cancer studies with application to survival time prediction models
  2. 482
    “…To obtain a catalog of the mitochondrial poly(A) RNA interacting proteome, we used Bayesian data integration to combine these two mitochondrial-enriched datasets as well as published whole-cell datasets of RNA-binding proteins with various online resources, such as mitochondrial localization from MitoCarta 2.0 and co-expression analyses. …”
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    A Combined Mass Spectrometry and Data Integration Approach to Predict the Mitochondrial Poly(A) RNA Interacting Proteome
  3. 483
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    Network Analyses and Data Integration of Proteomics and Metabolomics From Leaves of Two Contrasting Varieties of Sugarcane in Response to Drought
  4. 484
    “…METHODS: EEG-IP is an International Infant EEG Data Integration Platform developed to advance biomarker discovery by enhancing the large scale integration of multi-site data. …”
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    EEG-IP: an international infant EEG data integration platform for the study of risk and resilience in autism and related conditions
  5. 485
    “…The risk subgroups obtained through a multiomics data integration pipeline using the DL algorithm had good robustness. miR-133b and its target genes could be potential diagnostic markers. …”
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    Survival prediction in patients with colon adenocarcinoma via multiomics data integration using a deep learning algorithm
  6. 486
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    A catalogue of 863 Rett-syndrome-causing MECP2 mutations and lessons learned from data integration
  7. 487
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    Multi-Omic Biomarkers as Potential Tools for the Characterisation of Pancreatic Cystic Lesions and Cancer: Innovative Patient Data Integration
  8. 488
    “…Our study highlights the importance of data integration and systems approaches to investigate complex and heterogeneous diseases such as IBD.…”
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    Understanding the Molecular Drivers of Disease Heterogeneity in Crohn’s Disease Using Multi-omic Data Integration and Network Analysis
  9. 489
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    The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
  10. 490
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    A Method of Optimizing Weight Allocation in Data Integration Based on Q-Learning for Drug-Target Interaction Prediction
  11. 491
    “…By fusing histopathological, radiologic and clinicogenomic machine-learning models, we demonstrate a promising path toward improved risk stratification of patients with cancer through multimodal data integration.…”
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    Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
  12. 492
    “…We showcase SCALEX’s advantages by constructing continuously expandable single-cell atlases for human, mouse, and COVID-19 patients, each assembled from diverse data sources and growing with every new data. The online data integration capacity and superior performance makes SCALEX particularly appropriate for large-scale single-cell applications to build upon previous scientific insights.…”
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    Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  13. 493
    “…MOTIVATION: With the steadily increasing abundance of omics data produced all over the world under vastly different experimental conditions residing in public databases, a crucial step in many data-driven bioinformatics applications is that of data integration. The challenge of batch-effect removal for entire databases lies in the large number of batches and biological variation, which can result in design matrix singularity. …”
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    reComBat: batch-effect removal in large-scale multi-source gene-expression data integration
  14. 494
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    An Approach for Systems-Level Understanding of Prostate Cancer from High-Throughput Data Integration to Pathway Modeling and Simulation
  15. 495
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    Retracted: Countermeasures for the Development of Data Integration of the Internet Ice and Snow Tourism Industry under the Background of Artificial Intelligence
  16. 496
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    A novel blockchain-based architectural modal for healthcare data integrity: Covid19 screening laboratory use-case
  17. 497
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    Correction: Witanto et al. Distributed Data Integrity Verification Scheme in Multi-Cloud Environment. Sensors 2023, 23, 1623
  18. 498
    “…The analysis focused on data integrity such as data completeness and signal quality. …”
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    Data Integrity–Based Methodology and Checklist for Identifying Implementation Risks of Physiological Sensing in Mobile Health Projects: Quantitative and Qualitative Analysis
  19. 499
    “…Thus, the trial Sponsor conducted a risk assessment to address challenges for trial conduct during restrictions posed by the pandemic and developed a contingency plan ensuring patient safety, data integrity and treatment continuation. METHODS: Due to possible restrictions of protocol-scheduled on-site visits, a contingency plan centered around remote visits has been implemented. …”
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    Ensuring Patient Safety and Data Integrity in Clinical Trials for the Treatment of Bronchiolitis Obliterans Syndrome (BOS) during the COVID-19 Pandemic
  20. 500
    “…These challenges further emphasize the importance of developing effective methods for multi-omics data integration. RESULTS: We proposed a novel multi-omics data learning model called MODILM, which integrates multiple omics data to improve the classification accuracy of complex diseases by obtaining more significant and complementary information from different single-omics data. …”
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    MODILM: towards better complex diseases classification using a novel multi-omics data integration learning model
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