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2361por Xu, Hao, Cox, Steven, Stillwell, Lisa, Pfaff, Emily, Champion, James, Ahalt, Stanley C., Fecho, Karamarie“…RESULTS: We have developed an open-source software application—FHIR PIT (Health Level 7 Fast Healthcare Interoperability Resources Patient data Integration Tool)—to enable studies on the impact of individual-level environmental exposures on health and disease. …”
Publicado 2020
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2362por Han, Chang-Ho, Kim, Jeong Hwa, Kim, Mikyung, Kim, Ha-Ri, Kim, Seo Young, Choi, Hyun-Young, Jin, Chul, Kwon, Seungwon, Jung, Woo-Sang, Moon, Sang-Kwan, Park, Jung-Mi, Ko, Chang-Nam, Cho, Seung-Yeon“…The Cochrane Review Manager (RevMan) software (version 5.3.5) will be employed to assess bias risk, data integration risk, and meta-analysis risk. Mean difference and standardized mean difference will be used to represent continuous data, while risk ratios will be used for pooled binary data. …”
Publicado 2020
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2363por Angel, Paul W., Rajab, Nadia, Deng, Yidi, Pacheco, Chris M., Chen, Tyrone, Lê Cao, Kim-Anh, Choi, Jarny, Wells, Christine A.“…In allowing for data integration across hundreds of studies, we address a key reproduciblity challenge which is faced by any new technology. …”
Publicado 2020
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2364por Long, Nguyen Phuoc, Min, Jung Eun, Anh, Nguyen Hoang, Kim, Sun Jo, Park, Seongoh, Kim, Hyung Min, Yoon, Sang Jun, Lim, Johan, Lee, Seul Ji, Kwon, Sung Won“…In conclusion, we developed an experimental procedure for a large-scale metabolic assessment for suborganelle metabolic profiling and multiple omics data integration in cancer cells with broad applications.…”
Publicado 2020
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2365“…CONCLUSIONS: The proposed fusion models learn better patient representation by combining structured and unstructured data. Integrating heterogeneous data types across EHRs helps improve the performance of prediction models and reduce errors.…”
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2366“…Much effort has been directed at understanding disease associations by constructing disease networks, and classifying patient samples according to gene expression data. Integrating human gene networks overcomes limited coverage of genes. …”
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2367por Shamimuzzaman, Md, Gardiner, Jack M., Walsh, Amy T., Triant, Deborah A., Le Tourneau, Justin J., Tayal, Aditi, Unni, Deepak R., Nguyen, Hung N., Portwood, John L., Cannon, Ethalinda K. S., Andorf, Carson M., Elsik, Christine G.“…With the ability to save query outputs as lists that can be input to new queries, MaizeMine provides limitless possibilities for data integration and meta-analysis.…”
Publicado 2020
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2368por Spjuth, Ola, Karlsson, Andreas, Clements, Mark, Humphreys, Keith, Ivansson, Emma, Dowling, Jim, Eklund, Martin, Jauhiainen, Alexandra, Czene, Kamila, Grönberg, Henrik, Sparén, Pär, Wiklund, Fredrik, Cheddad, Abbas, Pálsdóttir, þorgerður, Rantalainen, Mattias, Abrahamsson, Linda, Laure, Erwin, Litton, Jan-Eric, Palmgren, Juni“…While current eCPC data management uses a traditional data warehouse model, we discuss eCPC-developed features of a coherent data integration platform. Discussion and Conclusion:E-Science tools are a key part of an evidence-based process for personalized medicine. …”
Publicado 2017
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2369por Gandrup, Julie, Ali, Syed Mustafa, McBeth, John, van der Veer, Sabine N, Dixon, William G“…Inclusion criteria were symptom reporting systems in adults with long-term conditions; data integrated into the EHR; data collection outside of clinic; data used in clinical care. …”
Publicado 2020
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2370“…METHODS: First, a variety of biomedical datasets were converted into RDF triple data; then, multisource biomedical datasets were integrated into a storage system using a data integration algorithm. Second, nine query patterns among genes, disorders, and drugs from different biomedical datasets were designed. …”
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2371por Stark, Stefan G, Ficek, Joanna, Locatello, Francesco, Bonilla, Ximena, Chevrier, Stéphane, Singer, Franziska, Rätsch, Gunnar, Lehmann, Kjong-Van“…RESULTS: We propose Single-Cell data Integration via Matching (SCIM), a scalable approach to recover such correspondences in two or more technologies. …”
Publicado 2020
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2372por Webb‐Robertson, Bobbie‐Jo M., Bramer, Lisa M., Stanfill, Bryan A., Reehl, Sarah M., Nakayasu, Ernesto S., Metz, Thomas O., Frohnert, Brigitte I., Norris, Jill M., Johnson, Randi K., Rich, Stephen S., Rewers, Marian J.“…METHODS: We developed a machine learning model to predict imminent transition to the development of persistent islet autoantibodies based on time‐varying metabolomics data integrated with time‐invariant risk factors (eg, gestational age). …”
Publicado 2020
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2373“…Furthermore, MKL outperformed the other traditional classifiers in multi-omics data integration. Our analysis indicated that through employing promising omics data such as somatic mutations and harnessing the power of proper feature selection methods and effective integration frameworks, the breast cancer survival predictive accuracy can be further increased, thereby providing a more optimal clinical diagnosis and more effective treatment for breast cancer patients.…”
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2374“…CONCLUSIONS: An integrative method such as iCluster for multiple data integration can be adopted directly to analyze longitudinal gene expression data, which offers more promising options for longitudinal big data analysis. …”
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2375por Yang, Liuqing, Xu, Hongbin, Chen, Yun, Miao, Chenyun, Zhao, Ying, Xing, Yu, Zhang, Qin“…METHODS: The systems pharmacological approach consisted of target identification, data integration, network construction, bioinformatics analysis, and molecular docking. …”
Publicado 2021
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2376Prognostic implications of troponin T variations in inherited cardiomyopathies using systems biologypor Shakur, Rameen, Ochoa, Juan Pablo, Robinson, Alan J., Niroula, Abhishek, Chandran, Aneesh, Rahman, Taufiq, Vihinen, Mauno, Monserrat, Lorenzo“…Our integrative genomic, structural, model from genotype to clinical data integration has implications for enhancing clinical genomics methodologies to improve risk stratification.…”
Publicado 2021
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2377por Martínez Arbas, Susana, Busi, Susheel Bhanu, Queirós, Pedro, de Nies, Laura, Herold, Malte, May, Patrick, Wilmes, Paul, Muller, Emilie E. L., Narayanasamy, Shaman“…In this article, we discuss the challenges, emerging strategies, and best-practices applicable to longitudinal microbiome studies ranging from sampling, biomolecular extraction, systematic multi-omic measurements, reference-independent data integration, modeling, and validation.…”
Publicado 2021
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2378“…We have included discussion not only on the technical merits of IMS study conduct but also the key elements of setting study objectives, building collaborations, data integration into the medicine progression milestones, and potential pitfalls when trying to establish IMS in the pharmaceutical arena. …”
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2379por Badam, Tejaswi V. S., de Weerd, Hendrik A., Martínez-Enguita, David, Olsson, Tomas, Alfredsson, Lars, Kockum, Ingrid, Jagodic, Maja, Lubovac-Pilav, Zelmina, Gustafsson, Mika“…BACKGROUND: There exist few, if any, practical guidelines for predictive and falsifiable multi-omic data integration that systematically integrate existing knowledge. …”
Publicado 2021
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2380por Boateng, Jessica, Lee, Clara N., Foraker, Randi E., Myckatyn, Terence M., Spilo, Kimi, Goodwin, Courtney, Politi, Mary C.“…Addressing key questions such as cost, data integration, and timing of delivering BREASTChoice could build institutional buy-in for CDS implementation. …”
Publicado 2021
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