Results 21 to 30 of about 28,160,752 (309)
anNET: a tool for network-embedded thermodynamic analysis of quantitative metabolome data [PDF]
, 2008 Background: Compared to other omics techniques, quantitative metabolomics is still at its infancy. Complex sample preparation and analytical procedures render exact quantification extremely difficult. Furthermore, not only the actual measurement but also
Kümmel, Anne, +13 more
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Smart Visualization of Mixed Data
Stats, 2021 In this work, we propose a new protocol that integrates robust classification and visualization techniques to analyze mixed data. This protocol is based on the combination of the Forward Search Distance-Based (FS-DB) algorithm (Grané, Salini, and ...
Aurea Grané +2 more
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Quantitative Longitudinal Data Analysis
, 2020 First published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series.
Lambert, Paul, Gayle, Vernon
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F1000ResearchBackground Despite the demonstrated value of quantitative research in understanding and responding to public health events, analytics capability is not always prioritized or available in settings that would greatly benefit from it.
Laura A. Skrip +4 more
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BepiTBR: T-B reciprocity enhances B cell epitope prediction
iScience, 2022 Summary: The ability to predict B cell epitopes is critical for biomedical research and many clinical applications. Investigators have observed the phenomenon of T-B reciprocity, in which candidate B cell epitopes with nearby CD4+ T cell epitopes have ...
James Zhu +5 more
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Polish Cartographical Review, 2017 The authors of the article pay their attention to the lack of a generally accepted classification of the cartographic presentation methods. The classification, which was described in the Ratajski’s handbook (1989) in the mostly extensive way, is commonly
Korycka-Skorupa Jolanta +1 more
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Dynamic Mixed Data Analysis and Visualization
Entropy, 2022 One of the consequences of the big data revolution is that data are more heterogeneous than ever. A new challenge appears when mixed-type data sets evolve over time and we are interested in the comparison among individuals. In this work, we propose a new
Aurea Grané +2 more
doaj +1 more source
A review of quantitative methods for movement data [PDF]
, 2013 Support for this work was obtained from the Natural Sciences and Engineering Research Council of Canada, and GEOIDE through the Government of Canada’s Networks for Centres of Excellence program.The collection, visualization, and analysis of movement data
Long, Jed, Nelson, T.A.
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Journal of Ayurveda and Integrative MedicineThe exponential growth of unstructured data has presented new opportunities for leveraging computational techniques to uncover meaningful insights in diverse domains, including healthcare.
Tina Dutta, Abhinav Kumar
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VertigO, 2013 In order to support coastal communities in the process of establishing attenuation and adaptation strategies to environmental changes, it is essential to understand how people perceive these changes.
Vincent Stervinou +3 more
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