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  1. 1161
    por Azuaje, Francisco
    Publicado 2002
    “…Research on biological data integration has traditionally focused on the development of systems for the maintenance and interconnection of databases. …”
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    Advancing Post-Genome Data and System Integration Through Machine Learning
  2. 1162
    por Ferrés, Ignacio, Iraola, Gregorio
    Publicado 2021
    “…To fill this gap, we created Pagoo, a pangenome post-processing tool that leverages a standardized but flexible and extensible framework for data integration, analysis, and storage. Here, we provide the protocol for running Pagoo and performing from simple to more complex comparative analyses on bacterial pangenome data. …”
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    Protocol for post-processing of bacterial pangenome data using Pagoo pipeline
  3. 1163
    “…However, the efforts to stimulate guidelines for automatic semantic data integration and analysis for PPIs in these datasets are limited. …”
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    PPIntegrator: semantic integrative system for protein–protein interaction and application for host–pathogen datasets
  4. 1164
    “…These obstacles impair data integration, standardization, and analysis, which negatively impact the generation of significant meaningful clinical evidence. …”
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    The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research
  5. 1165
    “…RESULTS: The EMMA 2 software has been designed to resolve shortcomings with respect to full MAGE-ML and ontology support and makes use of modern data integration techniques. We present a software system that features comprehensive data analysis functions for spotted arrays, and for the most common synthesized oligo arrays such as Agilent, Affymetrix and NimbleGen. …”
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    EMMA 2 – A MAGE-compliant system for the collaborative analysis and integration of microarray data
  6. 1166
    “…The result is a user-driven system that permits data integration and exploration in a variety of settings. …”
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    The Stanford Data Miner: a novel approach for integrating and exploring heterogeneous immunological data
  7. 1167
    “…RESULTS: Our unified framework has been tested in the context of the EU Framework Program 7 TRANSFoRm project, where it was used to achieve data integration in a retrospective diabetes cohort study. …”
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    A unified structural/terminological interoperability framework based on LexEVS: application to TRANSFoRm
  8. 1168
    “…Background  In 2015, the German Federal Ministry of Education and Research initiated a large data integration and data sharing research initiative to improve the reuse of data from patient care and translational research. …”
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    Towards Implementation of OMOP in a German University Hospital Consortium
  9. 1169
    “…METHODS: We propose a novel framework for multi-omics data integration using multi-view feature selection. We introduce a novel multi-view feature selection algorithm, MRMR-mv, an adaptation of the well-known Min-Redundancy and Maximum-Relevance (MRMR) single-view feature selection algorithm to the multi-view setting. …”
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    Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data
  10. 1170
    “…However, few of them consider the regulatory associations between genome features and the contribution weights of different data-views in data integration. It is widely accepted that the regulatory associations between features play important roles in cancer subtype studies. …”
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    Improvement of cancer subtype prediction by incorporating transcriptome expression data and heterogeneous biological networks
  11. 1171
    “…In presence of noise and sparse data, our data integration method outperform other techniques, both in the synthetic and in the AML data. …”
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    Patient similarity by joint matrix trifactorization to identify subgroups in acute myeloid leukemia
  12. 1172
    por Ben-Othman, Rym, Cai, Bing, Liu, Aaron C., Varankovich, Natallia, He, Daniel, Blimkie, Travis M., Lee, Amy H., Gill, Erin E., Novotny, Mark, Aevermann, Brian, Drissler, Sibyl, Shannon, Casey P., McCann, Sarah, Marty, Kim, Bjornson, Gordean, Edgar, Rachel D., Lin, David Tse Shen, Gladish, Nicole, Maclsaac, Julia, Amenyogbe, Nelly, Chan, Queenie, Llibre, Alba, Collin, Joyce, Landais, Elise, Le, Khoa, Reiss, Samantha M., Koff, Wayne C., Havenar-Daughton, Colin, Heran, Manraj, Sangha, Bippan, Walt, David, Krajden, Mel, Crotty, Shane, Sok, Devin, Briney, Bryan, Burton, Dennis R., Duffy, Darragh, Foster, Leonard J., Mohn, William W., Kobor, Michael S., Tebbutt, Scott J., Brinkman, Ryan R., Scheuermann, Richard H., Hancock, Robert E. W., Kollmann, Tobias R., Sadarangani, Manish
    Publicado 2020
    “…Our results demonstrate that such intensive sampling studies are feasible in healthy adults, and data integration tools exist to analyze the vast amount of data generated from a multi-omics systems biology approach. …”
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    Systems Biology Methods Applied to Blood and Tissue for a Comprehensive Analysis of Immune Response to Hepatitis B Vaccine in Adults
  13. 1173
    “…Such accurate and digital real time data integration within TBI care and other fields is critical as we move towards digitizing healthcare information and integrating clinical data streams to improve bedside care. …”
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    Computer Vision for Continuous Bedside Pharmacological Data Extraction: A Novel Application of Artificial Intelligence for Clinical Data Recording and Biomedical Research
  14. 1174
    por Wandy, Joe, Daly, Rónán
    Publicado 2021
    “…However, data integration remains a challenge due to the complexity of the data and the difficulty in interpreting analysis results. …”
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    GraphOmics: an interactive platform to explore and integrate multi-omics data
  15. 1175
    “…The third phase involved data integration. Then the content and system development were done based on the previous phases. …”
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    A telemonitoring system to support CPAP therapy in patients with obstructive sleep apnea: a participatory approach in analysis, design, and evaluation
  16. 1176
    “…Gene Ontology (GO), KEGG, Reactome, STRING, Metascape, PANTHER, and Pubmed were used for data integration and gene annotation. We identified 116 differentially expressed genes (DEG) in BM compared to primaries. …”
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    The Gene Expression Landscape of Prostate Cancer BM Reveals Close Interaction with the Bone Microenvironment
  17. 1177
    por Chen, Hailin, VanBuren, Vincent
    Publicado 2012
    “…In this paper, we will discuss distinctive strategies of data integration for GRN construction. Basically, the process of integration of different data sources is divided into two phases: the first phase is collection of the required data and the second phase is data processing with advanced algorithms to infer the GRNs. …”
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    A Review of Integration Strategies to Support Gene Regulatory Network Construction
  18. 1178
    por Ashish, Naveen, Toga, Arthur W.
    Publicado 2015
    “…We present a general purpose data transformation system that we have developed by leveraging the existing state-of-the-art in data integration and query rewriting. In this work we have further extended the current technology with new formalisms that facilitate expressing a broader range of data transformation tasks, plus new execution methodologies to ensure efficient data transformation for disease datasets.…”
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    Medical data transformation using rewriting
  19. 1179
    por Fein, Rebecca
    Publicado 2014
    “…Innovation is needed to address the problem of lack of access to important data, such as genomic test results, not structured to fit into an EHR. Without data integration care will, and does suffer. Innovations, albeit long in the making (Blatt, 2013), are improving the care of patients. …”
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    Innovate or die!: Genomic data and the electronic health record (EHR)
  20. 1180
    por Kozak, Fanny, Kurzbach, Dennis
    Publicado 2021
    “…We review recent advances in modeling structural ensembles of transcription factors from nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) spectroscopic data, integrated with molecular dynamics (MD) simulations. …”
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    How to assess the structural dynamics of transcription factors by integrating sparse NMR and EPR constraints with molecular dynamics simulations
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