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  1. 1541
    “…The advent of next generation sequencing and other high throughput methods has led to a major increase in availability of biological data. Integration of such disparate data can help define the emergent metabolic system properties, which is of crucial importance in addressing biofuel production optimization. …”
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    Computational Approaches for Microalgal Biofuel Optimization: A Review
  2. 1542
    “…In this study, we used three gridded rainfall datasets: 1) National Centers for Environmental Prediction - Climate Forecast System Reanalysis (NCEP-CFSR); 2) Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation (APHRODITE); and 3) China trend - surface reanalysis (trend surface) data. …”
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    Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir
  3. 1543
    “…Our machine reading approach to scientific data integration and synthesis brings within reach many questions that are currently underdetermined and does so in ways that may stimulate entirely new modes of inquiry.…”
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    A Machine Reading System for Assembling Synthetic Paleontological Databases
  4. 1544
    “…Integration profiles collaboratively developed by CDISC and IHE for integrating data from Electronic Health Records (EHRs) with clinical research and pharmacovigilance are limited to resolving lexical/syntactic data integration issues and do not address semantic barriers. …”
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    Standard-based EHR-enabled applications for clinical research and patient safety: CDISC – IHE QRPH – EHR4CR & SALUS collaboration
  5. 1545
    por Wills, Quin F., Mead, Adam J.
    Publicado 2015
    “…These might be thought of as being challenges related to samples (processing and scale for analysis), sensitivity and specificity of mutation detection, sources of heterogeneity (biological and technical), synergies (from data integration) and systems modelling. We discuss these in the context of recent advances in technologies and data modelling, concluding with implications for moving cancer research into the clinic.…”
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    Application of single-cell genomics in cancer: promise and challenges
  6. 1546
    “…Although the hippocampal literature is remarkably information-rich, neuron properties are often reported with incompletely defined and notoriously inconsistent terminology, creating a formidable challenge for data integration. Our extensive literature mining and data reconciliation identified 122 neuron types based on neurotransmitter, axonal and dendritic patterns, synaptic specificity, electrophysiology, and molecular biomarkers. …”
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    Hippocampome.org: a knowledge base of neuron types in the rodent hippocampus
  7. 1547
    “…A large proportion of bioinformatics research tasks, however, may include labor-intensive tasks such as fetching, parsing, and merging datasets and functional annotations from distributed multi-domain databases. This data integration issue is one of the key challenges in bioinformatics. …”
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    G-Links: a gene-centric link acquisition service
  8. 1548
    “…Hence, comprehensible strategies for data integration across modalities and across scales are essential. …”
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    Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging
  9. 1549
    “…While a number of conceptual approaches have been developed for data integration, easily accessible tools for integrated analysis of mammalian steady-state metabolomic and transcriptional data are lacking. …”
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    GAM: a web-service for integrated transcriptional and metabolic network analysis
  10. 1550
    “…BK-1361 application in mice decreased tumour burden and metastasis of implanted pancreatic tumour cells and provides improved metrics of clinical symptoms and survival in a Kras(G12D)-driven mouse model of PDAC. Thus, our data integrate ADAM8 in pancreatic cancer signalling and validate ADAM8 as a target for PDAC therapy.…”
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    ADAM8 as a drug target in Pancreatic Cancer
  11. 1551
    “…IRD facilitates the research and development of vaccines, diagnostics and therapeutics against influenza virus by providing a comprehensive collection of influenza-related data integrated from various sources, a growing suite of analysis and visualization tools for data mining and hypothesis generation, personal workbench spaces for data storage and sharing, and active user community support. …”
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    Influenza Research Database: An integrated bioinformatics resource for influenza virus research
  12. 1552
    “…Research data archiving solutions are evolving rapidly to address these necessities, however, distributed data integration is still difficult because of the need of explicit agreements for disparate data models. …”
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    Extending XNAT Platform with an Incremental Semantic Framework
  13. 1553
    “…To effectively exploit the value of those data, integrative methods are urgently needed. In this paper, based on SNF (Similarity Network Diffusion) [1], we proposed a new integrative method named ndmaSNF (network diffusion model assisted SNF), which can be used for cancer subtype discovery with the advantage of making use of somatic mutation data and other discrete data. …”
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    ndmaSNF: cancer subtype discovery based on integrative framework assisted by network diffusion model
  14. 1554
    “…Most structured data commonly needs classic preprocessing technologies, including data cleansing, data integration, data transformation, and data reduction. …”
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    Data Processing and Text Mining Technologies on Electronic Medical Records: A Review
  15. 1555
    por Hatami, Rezvan
    Publicado 2018
    “…To overcome this problem, a causal modelling method based on spatiotemporal data, integrated with existing statistical methods such as multivariate redundancy analysis, multiple regression and, ordination was used for inferring causal effects of wastewater on biotic ecosystems. …”
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    A practical method to control spatiotemporal confounding in environmental impact studies
  16. 1556
    “…We summarize the benefits of transcriptomic analyses in breast cancer management and propose that unscrambling the core signaling networks of cancer may be an important task of multiple-omic data integration for precision oncology.…”
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    Applications of RNA Indexes for Precision Oncology in Breast Cancer
  17. 1557
    “…Providing healthcare services in the future will involve the storage and manipulation of large volumes of data (big data) from medical records, requiring the integration of different data sources, for a multitude of purposes, such as prediction, prevention, personalization, participation, and becoming digital. Data integration and data sharing will be essential to achieve these goals. …”
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    Merging Data Diversity of Clinical Medical Records to Improve Effectiveness
  18. 1558
    “…The pilot study (six ischemic stroke cohorts, n = 878) demonstrated feasibility of multicenter data integration (computed tomography/magnetic resonance imaging) and achieved marked improvement of lesion coverage. …”
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    The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study
  19. 1559
    “…Our analysis of ChIP-seq data, integrating PPI and gene expression information, uncovered different modes by which interacting TFs are recruited to DNA. …”
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    A Comprehensive Drosophila melanogaster Transcription Factor Interactome
  20. 1560
    “…It interoperates with external resources via web services, thereby allowing data integration into other systems; for example, modelling platforms or external databases. …”
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    Dealing with multi‐source and multi‐scale information in plant phenomics: the ontology‐driven Phenotyping Hybrid Information System
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