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Mostrando 61 - 80 Resultados de 106 Para Buscar 'Discovery Digital Networks', tiempo de consulta: 0.20s Limitar resultados
  1. 61
    “…BACKGROUND: Leaf vein networks are critical to both the structure and function of leaves. …”
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    ClearedLeavesDB: an online database of cleared plant leaf images
  2. 62
    “…BACKGROUND: Logic minimization is the application of algebraic axioms to a binary dataset with the purpose of reducing the number of digital variables and/or rules needed to express it. …”
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    Logic minimization and rule extraction for identification of functional sites in molecular sequences
  3. 63
    “…The spatio-temporal gene expression patterns of Drosophila melanogaster can be visualized by in situ hybridization and documented as digital images. Automated and efficient tools for analyzing these expression images will provide biological insights into the gene functions, interactions, and networks. …”
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    Image-level and group-level models for Drosophila gene expression pattern annotation
  4. 64
    “…The codeveloped digital myPath app showed the highest perceived combined usability (mean 81.9, SD 15.2) compared with the current gold standard of distress management for patients with cancer, the paper-based National Comprehensive Cancer Network Distress Thermometer (mean 74.2, SD 15.8). …”
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    Designing a Framework for Remote Cancer Care Through Community Co-design: Participatory Development Study
  5. 65
    “…CONCLUSIONS: We found that CALIMA proved to be a robust and fast tool to analyze the data of experiments for the digital reconstruction of the neuronal cellular network while being able to process the analysis steps with minimal user input required and in a time efficient manner.…”
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    CALIMA: The semi-automated open-source calcium imaging analyzer
  6. 66
    “…Next, we focused on gene expression based knowledge discovery studies such as transcription factor binding site analysis, pathway analysis, protein- protein interaction network analysis and gene enrichment analysis.…”
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    Microarray Data Analysis and Mining Tools
  7. 67
    Publicado 2021
    “…Software packages were developed and open-sourced through the Python Package Index (PyPi) and the Comprehensive R Archive Network (CRAN). cgmquantify is integrated into the Digital Biomarker Discovery Pipeline and MD2K Cerebral Cortex. …”
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    Cgmquantify: Python and R Software Packages for Comprehensive Analysis of Interstitial Glucose and Glycemic Variability from Continuous Glucose Monitor Data
  8. 68
    Publicado 1993
    “…The degree of orientation appears to be dependent on cell-cell and cell-substrate adhesions. By performing digital optical sectioning microscopy on a highly spread NRK subclone, we show that actin filaments organize as a largely isotropic cortical meshwork in metaphase cells and convert into an anisotropic network shortly after anaphase onset, becoming more organized as cytokinesis proceeds. …”
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    Orientation and three-dimensional organization of actin filaments in dividing cultured cells
  9. 69
    “…Here, we present a novel projection pursuit recurrent neural network to identify functional mechanisms in the context of iterative supervised machine learning for discovery-based design optimization. …”
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    Molecular function recognition by supervised projection pursuit machine learning
  10. 70
    “…OBJECTIVE: This pilot study aimed to develop a deep learning model for grading the corners of the cervical and lumbar vertebral bodies for computer-aided detection of mSASSS in patients with ankylosing spondylitis (AS). METHODS: Digital radiographic examination of the spine was performed using Discovery XR656 (GE Healthcare) and Digital Diagnost (Philips). …”
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    A pilot study on deep learning-based grading of corners of vertebral bodies for assessment of radiographic progression in patients with ankylosing spondylitis
  11. 71
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    An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records
  12. 72
    “…The findings and insights of this study will facilitate the development of digital pathology in non-clinical research and improve the probability of success in drug discovery research.…”
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    Automated recognition of glomerular lesions in the kidneys of mice by using deep learning
  13. 73
    “…The open and flexible design allows users to access various digital materials. Extendable data/metadata format, scalable architecture for petabyte-scale federated discovery. …”
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    ICT Enabled Disease Diagnosis, Treatment and Management—A Holistic Cost-Effective Approach Through Data Management and Analysis in UAE and India
  14. 74
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    Go with the flow: deep learning methods for autonomous viscosity estimations
  15. 75
    “…Genome sequences of marine streptomycetes are valuable for the discovery of useful enzymes and bioactive compounds by genome mining. …”
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    Analysis of the complete genome sequence of a marine-derived strain Streptomyces sp. S063 CGMCC 14582 reveals its biosynthetic potential to produce novel anti-complement agents and peptides
  16. 76
    “…We further constructed a protein-protein interaction (PPI) network of DEGs to identify the core genes. We used digital cytometry software CIBERSORTx to analyze the infiltration of immune cells in DN. …”
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    Bioinformatics Analysis Reveals Crosstalk Among Platelets, Immune Cells, and the Glomerulus That May Play an Important Role in the Development of Diabetic Nephropathy
  17. 77
    “…Here we suggest a novel application of search algorithms—originally developed for digital communication—modified to optimize combinations of therapeutic interventions. …”
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    Search Algorithms as a Framework for the Optimization of Drug Combinations
  18. 78
    “…Trained solely on datasets for epithelial cells, the GAN can be extrapolated to other contractile cell types using only a single scaling factor. The digital TFM serves as a high-throughput tool for mapping out cellular forces of cell monolayers and paves the way toward data-driven discoveries in cell mechanobiology.…”
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    Machine learning traction force maps of cell monolayers
  19. 79
    por Jiang, Xiaobo
    Publicado 2022
    “…In addition, for the discovery and utilization of archive information, it is necessary to further explore and analyze the correlation between the contents of the archive data. …”
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    Intelligent Classification Method of Archive Data Based on Multigranular Semantics
  20. 80
    “…We live in a computerized and networked society where many of our actions leave a digital trace and affect other people’s actions. …”
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    Web Search Queries Can Predict Stock Market Volumes
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