Data Science Core
Data Science Core
批准号:
10357746
负责人:
Justin Zhan
金额:
$18.32万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-04-01 至 2026-02-28
关键词:
Algorithmic AnalysisApplications GrantsArkansasArtificial IntelligenceBig DataBioenergeticsBioinformaticsBiological ModelsBiomedical ResearchCenters of Research ExcellenceCloud ComputingCollaborationsCommunitiesConsultationsDataData AnalysesData AnalyticsData Management ResourcesData ScienceData Science CoreData ScientistData SetData Storage and RetrievalDatabasesDisciplineDiseaseEducational workshopEnergy MetabolismExperimental DesignsFacultyFosteringFundingFutureGenomicsGoalsGrowthHigh Performance ComputingHuman ResourcesHybridsImageInvestmentsLeadMetabolicMetabolismMethodsModelingModernizationPediatric ResearchPerformancePhasePreparationProteomicsResearchResearch MethodologyResearch PersonnelResearch Project GrantsRoleScienceServicesStructureSystems BiologyTechniquesTechnologyTrainingUnited States National Institutes of HealthUniversitiesVisionWorkbasebiomedical informaticscohortcomputational platformcomputing resourcesdata managementdesigninnovationinterdisciplinary collaborationinterestlarge datasetsmembermetabolic phenotypemitochondrial metabolismneural networknovelprofessorprogramsrecruitskillsspectroscopic imagingsynergismsystems research
中文摘要
项目摘要-数据科学核心
近年来,数据科学领域在生物医学科学领域呈爆炸性增长,部分原因是
通过使用经过训练的神经网络的人工智能方法来分析大数据集。现有的高-
将在阿肯色大学整合和扩展性能计算资源,以建立
拟建的阿肯色州综合代谢研究中心(AIMRC)的数据科学核心。数据
科学核心将是一个独特的核心,以满足AIMRC的研究需求,并是一个必不可少的
科布雷项目负责人提出的研究项目的组成部分。一个由四名数据科学家组成的团队将
将被组装成具有广泛专业知识的产品,为AIMRC提供数据科学支持。数据科学核心将
与AIMRC生物能量学和成像及光谱学核心密切合作,提供人工
基于智能的方法来阐明大成像、生物能量学、基因组和
蛋白质组数据集,最终可以用来预测和理解代谢表型及其
在疾病中的作用。这种协调的核心结构将允许数据分析集成到跨学科
能够支持有效代谢所需的全部技术和专业知识的框架
系统研究。数据科学核心和科布雷中心项目负责人之间的密切互动将
也带来了研究方面的新创新,这将使未来的Cobre研究人员以及更广泛的人受益
校园研究社区。核心董事将提供数据科学方面的机会和培训,以
AIMRC成员、校园和阿肯色州的研究人员。
英文摘要
Project Summary – Data Science Core
The field of data science has exploded in growth within the biomedical sciences in recent years, driven in part
by artificial intelligence approaches using trained neural networks to analyze large data sets. Existing high-
performance computing resources will be consolidated and expanded at the University of Arkansas to establish
a Data Science Core in the proposed Arkansas Integrative Metabolic Research Center (AIMRC). The Data
Science Core will be a unique core created to meet the research needs of the AIMRC and is an essential
component of the research projects proposed by the COBRE project leaders. A team of four data scientists will
be assembled that have broad expertise to provide data science support for AIMRC. The Data Science Core will
coordinate closely with the AIMRC Bioenergetics and Imaging and Spectroscopy Cores to provide artificial
intelligence-based approaches to elucidate relationships between large imaging, bioenergetics, genomic, and
proteomic data sets, which can ultimately be used to predict and understand metabolic phenotypes and their
role in disease. This coordinated core structure will allow data analytics to be integrated into a cross-disciplinary
framework capable of supporting the entire range of technologies and expertise needed for an effective metabolic
systems research. Close interaction between the Data Science Core and COBRE Center project leaders will
also lead to new innovations in research that will benefit future COBRE investigators as well as the broader
campus research community. Opportunities and training in data science will be provided by the core directors to
AIMRC members, the campus and researchers in Arkansas.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Data Science Core
-
批准号:10090747
-
项目类别:
-
资助金额:$18.32万
-
财政年份:2021
-
负责人:Justin Zhan
-
依托单位: