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2021por Zhang, Leixiao, Xiao, Xianjun, Hui, Ruting, Shi, Yunzhou, Deng, Yanli, Zheng, Hui, Zheng, Qianhua, Zhou, Siyuan, Yao, Junpeng, Cao, Wei, Liu, Ying, Hao, Pingsheng, Li, Ying“…Implement the Cochrane RevMan V5.3 bias assessment tool to assess bias assessment risk, data integration risk, meta-analysis risk, and subgroup analysis risk (if conditions are met). …”
Publicado 2019
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2022“…Work is currently underway to address multi-modal data integration, balancing quantitative algorithm performance and qualitative model interpretability, protection of model security, federated learning, and model bias.…”
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2023“…Therefore, we implemented a formal ontology as a resource to allow the mental health community to facilitate data integration and knowledge modeling and to improve ACEs’ surveillance and research. …”
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2024por Mate, Sebastian, Kampf, Marvin, Rödle, Wolfgang, Kraus, Stefan, Proynova, Rumyana, Silander, Kaisa, Ebert, Lars, Lablans, Martin, Schüttler, Christina, Knell, Christian, Eklund, Niina, Hummel, Michael, Holub, Petr, Prokosch, Hans-Ulrich“…Objectives To transform these data into a common representation, a uniform approach for data integration and harmonization had to be developed. …”
Publicado 2019
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2025por Duan, Ran, Gao, Lin, Xu, Han, Song, Kuo, Hu, Yuxuan, Wang, Hongda, Dong, Yongqiang, Zhang, Chenxing, Jia, Songwei“…Since comprehensive evaluation and comparison between different methods serves as a useful tool or guideline for users to select an optimal method for their own purpose, we develop a scalable platform, CEPICS, for comprehensively evaluating and comparing multi-omics data integration methods in cancer subtyping. Given a user-specified maximum number of subtypes, k-max, CEPICS provides (1) cancer subtyping results using up to five built-in state-of-the-art integration methods under the number of subtypes from two to k-max, (2) a report including the evaluation of each user-selected method and comparisons across them using clustering performance metrics and clinical survival analysis, and (3) an overall analysis of subtyping results by different methods representing a robust cancer subtype prediction for samples. …”
Publicado 2019
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2026por Katsogiannou, Maria, Boyer, Jean-Baptiste, Valdeolivas, Alberto, Remy, Elisabeth, Calzone, Laurence, Audebert, Stéphane, Rocchi, Palma, Camoin, Luc, Baudot, Anaïs“…In addition, by comparing the sensitive and resistant cell lines, we identified protein and phosphosites differentially expressed in the resistance context. Further data integration in a molecular network highlighted the differentially expressed pathways, in particular migration and invasion, RNA splicing, DNA damage repair response and transcription regulation. …”
Publicado 2019
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2027por De Caterina, Raffaele, Agnelli, Giancarlo, Laeis, Petra, Unverdorben, Martin, Rauer, Heiko, Wang, Chun‐Chieh, Nakamura, Mashio, Chiu, Kuan‐Ming, Reimitz, Paul‐Egbert, Koretsune, Yukihiro, Chen, Cathy, Thee, Ulrike, Kaburagi, Jumpei, Kim, Young‐Hoon, Choi, Won‐Il, Yamashita, Takeshi, Cohen, Alexander, Kirchhof, Paulus“…Targeted enrollment is >31 000 patients (AF >26 000; VTE >4500), with a follow‐up of 2 years for AF and 1 year for VTE. Data integration will be possible using consistent terminology, parameter definitions, and data collection across the regional noninterventional studies. …”
Publicado 2019
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2028por Rugard, Marylène, Coumoul, Xavier, Carvaillo, Jean-Charles, Barouki, Robert, Audouze, Karine“…Then, automatic screening of scientific abstracts from literature using the text mining tool, AOP-helpFinder, combined with data integration from various sources (AOP-wiki, CompTox, etc.) and manual curation allowed us to link BPF to AOP events. …”
Publicado 2020
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2029Identification of a Two-Gene (PML-EPB41) Signature With Independent Prognostic Value in Osteosarcoma“…Bioinformatic analysis with data integration was conducted to discover the significant biomarkers for predicting prognosis. …”
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2030por Bennekou, Susanne Hougaard“…The current approach to human health risk assessment is limited by several elements: (1) the relevance of data is debatable, as they are largely based on in vivo animal models that are poorly predictive for complex endpoints, raise challenges with regard to interspecies extrapolations, and are seldom informative of the mechanism underlying the observed effects; (2) lack of flexibility in data requirements by regulators, which limits the uptake of new scientific developments in a timely manner; and (3) lack of data accessibility, which makes data integration difficult. However, mechanistic‐based assessments are currently conducted for the identification of endocrine disruptors and are developed for addressing developmental neurotoxicity. …”
Publicado 2019
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2031“…Uploading data automatically and updating physicians in real-time was the most preferred method of data integration into the EMR. CONCLUSIONS: Physicians show interest in using mHealth technologies for patient care but have limited experience, usually with those specific to their specialties. …”
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2032por Su, Shian, Tian, Luyi, Dong, Xueyi, Hickey, Peter F, Freytag, Saskia, Ritchie, Matthew E“…Our software has enabled comprehensive benchmarking of single-cell RNA-seq normalization, imputation, clustering, trajectory analysis and data integration methods using various performance metrics obtained from data with available ground truth. …”
Publicado 2020
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2033“…Since high-quality data packages can mirror competing and conflicting classifications, i.e. unsettled systematic research, this plurality must be accommodated in the design of biodiversity data integration. Looking forward, a key directive is to develop new technical pathways and social incentives for experts to contribute directly to the validation of taxonomically coherent data packages as part of a greater, trustworthy aggregation process.…”
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2034“…Based on the heterogeneity test, data integration is performed using a fixed effect model or a random effects model. …”
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2035por Agricola, Eustachio, Beneduce, Alessandro, Esposito, Antonio, Ingallina, Giacomo, Palumbo, Diego, Palmisano, Anna, Ancona, Francesco, Baldetti, Luca, Pagnesi, Matteo, Melisurgo, Giulio, Zangrillo, Alberto, De Cobelli, Francesco“…From a clinical point of view, cardiac involvement during COVID-19 may present a wide spectrum of severity, ranging from subclinical myocardial injury to well-defined clinical entities (myocarditis, myocardial infarction, pulmonary embolism, and heart failure), whose incidence and prognostic implications are currently largely unknown because of a significant lack of imaging data. Integrated heart and lung multimodality imaging plays a central role in different clinical settings and is essential in the diagnosis, risk stratification, and management of patients with COVID-19. …”
Publicado 2020
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2036“…With the advancement of multi-omics technologies, subtyping methods have shifted toward data integration in order to differentiate among subtypes from a holistic perspective that takes into consideration phenomena at multiple levels. …”
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2037por Dasgupta, Subham, Wang, Guangxin, Simonich, Michael T., Zhang, Tingwei, Truong, Lisa, Liu, Huaping, Tanguay, Robyn L.“…The rapid deployment of 5G spectrum by the telecommunication industry is intended to promote better connectivity and data integration among various industries. However, since exposures to radio frequency radiations (RFR) >2.4 GHz are still uncommon, concerns about their potential health impacts are ongoing. …”
Publicado 2020
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2038por Pu, Juncai, Yu, Yue, Liu, Yiyun, Tian, Lu, Gui, Siwen, Zhong, Xiaogang, Fan, Chu, Xu, Shaohua, Song, Xuemian, Liu, Lanxiang, Yang, Lining, Zheng, Peng, Chen, Jianjun, Cheng, Ke, Zhou, Chanjuan, Wang, Haiyang, Xie, Peng“…To facilitate data analysis and interpretation based on MENDA, we also proposed a systematic analytical framework, including data integration and biological function analysis. Case studies were provided that identified the consistently altered metabolites using the vote-counting method, and that captured the underlying molecular mechanism using pathway and network analyses. …”
Publicado 2019
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2039por Shen, Yuquan, Zhou, Qun, Zhang, Leixiao, Gao, Liang, Zhang, Di, Wang, Xinling, Yu, Yang, Zhang, Zhengsong, Liu, Jianjia, Liang, Shumi, Zhang, Guilong“…The Cochrane RevMan V5.3 bias assessment tool is implemented to assess bias risk, data integration risk, meta-analysis risk, and subgroup analysis risk (if conditions are met). …”
Publicado 2020
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2040por Boafo, Addo, Greenham, Stephanie, Cloutier, Paula, Abraham, Shanika, Dumel, Michele, Gendron, Valerie, Rowsell, Derek“…RESULTS: The clinical pathway development resulted in six steps from admission to discharge: intake process, inclusion/exclusion criteria, data integration and treatment formulation, interventions, determination of readiness for discharge, and the discharge process. …”
Publicado 2020
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