Data Science Core
Data Science Core
批准号:
10455492
负责人:
Yun Li
金额:
$16.77万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-07-28 至 2025-05-31
关键词:
Applications GrantsAttentionBehavioral GeneticsBioinformaticsBiologicalBiometryBiostatistical MethodsBrainBrain imagingCenter for Translational Science ActivitiesClinicalClinical ResearchComplexComputational BiologyConceptionsDataData AnalysesData CollectionData Science CoreData SourcesDevice or Instrument DevelopmentEducational StatusEnsureFamilyGeneticGenomicsIndividualIntellectual and Developmental Disabilities Research CentersIntellectual functioning disabilityLaboratoriesManuscriptsMassive Parallel SequencingMeasurementMethodsModernizationMolecularMultiomic DataNeurodevelopmental DisorderPreparationProteomicsPsychometricsQuality of lifeReproducibilityResearchResearch DesignResearch PersonnelResearch TrainingResourcesSample SizeScientistServicesTechnologyTrainingTranslational ResearchValidationWritingbasebehavior measurementbehavioral studybioinformatics resourcecollaborative approachcomputational neurosciencecomputer sciencecost effectivedesigndevelopmental diseasediagnostic toolepigenomicsexperiencefunctional magnetic resonance imaging/electroencephalographyhigh dimensionalityimaging studyinnovationlongitudinal designmembermultidimensional datamultidisciplinarymultimodalitypersonalized interventionpre-clinicalpreclinical studyresearch study
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Abstract
Clinical studies of individuals with intellectual and developmental disabilities (IDDs) often involve small sample
sizes, longitudinal behavior measurement, and the integration of genetic data. These multifaceted studies
invariably require complex methods for data analysis and careful attention to study design to ensure rigor and
reproducibility. In addition, massively parallel sequencing technology and multi-modal brain imaging studies
generate a deluge of data that must be carefully analyzed to distil biological meaning. Likewise, preclinical
studies of IDDs often generate multimodal behavioral, genetic, and other molecular omics data that require
complex analytic approaches. While these technologies provide unprecedented opportunities to develop
diagnostic tools and personalized interventions for individuals with developmental disorders, most scientists lack
the expertise and resources in bioinformatics, biostatistics, computer science, and psychometrics, to make full
use of these advanced approaches. The Data Science Core (DSC) was established to make available these
critical services and resources to IDDRC investigators and other IDDRC research cores. In this application, 41
projects from 27 IDDRC investigators are proposed for core access. The DSC interacts with the large user base
of IDDRC investigators and the Preclinical (PC) and Clinical Translational (CTC) Cores to provide state-of-the-
art processing and analysis of modern biomedical data. By consolidating resources and expertise, the DSC
facilitates inter-disciplinary, collaborative IDD research, employing the methods of biostatistics, psychometrics,
bioinformatics and computational neuroscience. In providing expertise to analyze and interpret complex and high
dimensional data, this core maximizes the potential for IDDRC investigators to conduct cutting-edge research to
positively impact the quality of life of individuals with IDDs and their families. Through regular interactions with
the PC and CTC, the centralized services of the DSC provide expertise within and across preclinical and clinical
domains to promote cost-effective, high quality, translational research. Specifically, the DSC has the following
aims: Aim 1. To provide innovative and comprehensive biostatistics, psychometrics, and computational
neuroscience support to IDDRC investigators. Aim 2. To provide comprehensive bioinformatics support to
IDDRC Investigators. Aim 3. To facilitate integrative and multidisciplinary IDDRC research and training.
期刊论文(0)
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会议论文
Data Science Core
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批准号:10224312
-
项目类别:
-
资助金额:$16.77万
-
财政年份:2020
-
负责人:Yun Li
-
依托单位:
Evaluation of the Genetics of Hidradenitis Suppurativa
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批准号:10194381
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项目类别:
-
资助金额:$13.66万
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财政年份:2020
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负责人:Yun Li
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依托单位:
Evaluation of the Genetics of Hidradenitis Suppurativa
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批准号:9979198
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项目类别:
-
资助金额:$16.9万
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财政年份:2020
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负责人:Yun Li
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依托单位:
Data Science Core
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批准号:10673859
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项目类别:
-
资助金额:$16.77万
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财政年份:2020
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负责人:Yun Li
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依托单位:
Genetic Studies of Blood Cell Traits in Multi-Ethnic Cohorts
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批准号:9313930
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项目类别:
-
资助金额:$65.6万
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财政年份:2016
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负责人:Yun Li
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依托单位:
Imputation and Analysis of Rare Variants in Admixed Populations
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批准号:8275661
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项目类别:
-
资助金额:$32.0万
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财政年份:2012
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负责人:Yun Li
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依托单位:
Imputation and Analysis of Rare Variants in Admixed Populations
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批准号:8470204
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项目类别:
-
资助金额:$30.21万
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财政年份:2012
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负责人:Yun Li
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依托单位:
Imputation and Analysis of Rare Variants in Admixed Populations
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批准号:8634810
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项目类别:
-
资助金额:$30.87万
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财政年份:2012
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负责人:Yun Li
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依托单位:
Design and Analysis of Sequencing-based Studies for Complex Human Traits
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批准号:8323316
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项目类别:
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资助金额:$36.69万
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财政年份:2011
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负责人:Yun Li
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依托单位:
Design and Analysis of Sequencing-based Studies for Complex Human Traits
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批准号:8471743
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项目类别:
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资助金额:$35.04万
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财政年份:2011
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负责人:Yun Li
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依托单位:
Design and Analysis of Sequencing-based Studies for Complex Human Traits
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批准号:8666560
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项目类别:
-
资助金额:$35.96万
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财政年份:2011
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负责人:Yun Li
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依托单位:
Design and Analysis of Sequencing-based Studies for Complex Human Traits
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批准号:8162723
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项目类别:
-
资助金额:$36.69万
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财政年份:2011
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负责人:Yun Li
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依托单位:
Data Science Core
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批准号:10085970
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项目类别:
-
资助金额:$16.77万
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财政年份:--
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负责人:Yun Li
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依托单位:
Bioinformatics and Biostatistics Core
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批准号:9923810
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项目类别:
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资助金额:$19.38万
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财政年份:--
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负责人:Yun Li
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依托单位:
国内基金
海外基金
多模态超声VisTran-Attention网络评估早期子宫颈癌保留生育功能手术可行性
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批准号:--
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项目类别:青年科学基金项目
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资助金额:30万元
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批准年份:2022
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负责人:郑巧
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依托单位:
Ultrasomics-Attention孪生网络早期精准评估肝内胆管癌免疫治疗的研究
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批准号:--
-
项目类别:面上项目
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资助金额:52万元
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批准年份:2022
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负责人:陈立达
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依托单位: