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Titlebook: Extended Abstracts Fall 2015; Biomedical Big Data; Elizabeth A. Ainsbury,M.Luz Calle,Pere Puig Conference proceedings 2017 Springer Interna

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發(fā)表于 2025-3-21 16:49:10 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Extended Abstracts Fall 2015
副標(biāo)題Biomedical Big Data;
編輯Elizabeth A. Ainsbury,M.Luz Calle,Pere Puig
視頻videohttp://file.papertrans.cn/320/319792/319792.mp4
概述Includes supplementary material:
叢書名稱Trends in Mathematics
圖書封面Titlebook: Extended Abstracts Fall 2015; Biomedical Big Data; Elizabeth A. Ainsbury,M.Luz Calle,Pere Puig Conference proceedings 2017 Springer Interna
描述.This two-part volume gathers extended conference abstracts corresponding to selected talks from the "Biostatnet workshop on Biomedical (Big) Data" and from the "DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research", which were held at the Centre de Recerca Matemàtica (CRM) in Barcelona from November 26th to 27th, 2015, and at the Institut de Salut Global ISGlobal (former CREAL) from October 26th to 28th, 2015, respectively. Most of the contributions are brief articles, presenting preliminary new results not yet published in regular research journals..The first part is devoted to the challenges of analyzing so called "Biomedical Big Data", tremendous amounts of biomedical and health data that are generated every day due to the use of recent technological advances such as massive genomic sequencing, electronic health records or high-resolution medical imaging, among others. The analysis of this information poses significantchallenges for researchers in the fields of biostatistics, bioinformatics, and signal processing. Furthermore, other relevant challenges in biostatistical research, not necessarily involving big data, are also
出版日期Conference proceedings 2017
關(guān)鍵詞HIV research; high dimensional data; integrative omics; penalized regression; survival analysis; time ser
版次1
doihttps://doi.org/10.1007/978-3-319-55639-0
isbn_softcover978-3-319-55638-3
isbn_ebook978-3-319-55639-0Series ISSN 2297-0215 Series E-ISSN 2297-024X
issn_series 2297-0215
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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發(fā)表于 2025-3-22 00:18:56 | 只看該作者
2297-0215 esearchers in the fields of biostatistics, bioinformatics, and signal processing. Furthermore, other relevant challenges in biostatistical research, not necessarily involving big data, are also978-3-319-55638-3978-3-319-55639-0Series ISSN 2297-0215 Series E-ISSN 2297-024X
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Integrative Analysis of Transcriptomics and Proteomics Data for the Characterization of Brain Tissuecent years to taggle this approach. In this work Multiple Co-inertia and Regularized Canonical Correlation with Sparse Partial Least Squares Regression have been applied for an integrative analysis of transcriptomics and proteomics data for the characterization of brain tissue after ischemic stroke.
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Statistical Challenges for Human Microbiome Analysisetary and gut microbiome association in this group of patients. A penalized Dirichlet Multinomial regression model has been considered. The assumed underlying Dirichlet distribution in this modelization provides additional flexibility to the multinomial model which results in a better fit of the typically overdispersed microbiome data.
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發(fā)表于 2025-3-22 19:40:01 | 只看該作者
Integrative Analysis to Select Genes Regulated by Methylation in a Cancer Colon?Studyods, one based on mutual information, and a new one based on clustering the coefficients of fitted curves. The methods are tested on a Cancer Colon study and the biological analysis of the resulting lists suggests that at least some of the genes selected are indeed genes regulated by methylation, opening the door to an automatic mining method.
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發(fā)表于 2025-3-23 00:45:13 | 只看該作者
Understanding Plaque Overlap Is Essential for Modelling Radiation Induced Atherosclerosisnising radiation in day-to-day situations. We present a preliminary version of a mechanistic model for atherogenesis and show that, in order to interpret the role of radiation in atherogenesis, it is essential to understand how plaques may overlap.
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發(fā)表于 2025-3-23 05:20:53 | 只看該作者
2297-0215 atnet workshop on Biomedical (Big) Data" and from the "DoReMi LD-RadStats: Workshop for statisticians interested in contributing to EU low dose radiation research", which were held at the Centre de Recerca Matemàtica (CRM) in Barcelona from November 26th to 27th, 2015, and at the Institut de Salut G
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