Core B: Biostatistics and Bioinformatics Core
Core B: Biostatistics and Bioinformatics Core
批准号:
10203852
负责人:
Shuangge Ma
金额:
$22.32万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
未结题
起止时间:
2015-08-26 至 2025-07-31
关键词:
AchievementAddressApplications GrantsAwardBioinformaticsBiometryBiostatistics Shared ResourceCancer BiologyCancer CenterClinical DataClinical TrialsCommunitiesComputational BiologyDataData CollectionData Management ResourcesDepositionDevelopmentEnsureFosteringFundingGoalsGuidelinesIndividualLeadMalignant NeoplasmsMalignant neoplasm of lungManuscriptsMedical InformaticsMedical centerMethodsMonitorPlayPoliciesPostdoctoral FellowProcessPublicationsPublishingRegulationReportingResearchResearch DesignResearch PersonnelRoleScienceServicesSkin CancerTimeTrainingTraining and EducationUnited States National Institutes of Healthanalytical methodanticancer researchcareerclinical biomarkerscost effectivedata managementdesignexperienceinnovationinterestnext generationnovelpersonalized medicinepostersprogramspublic repositorystudent trainingtraining opportunity
中文摘要
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英文摘要
CORE B: PROJECT SUMMARY
The main objective of the Biostatistics and Bioinformatics Core is to collaborate with all YSILC (Yale SPORE in
Lung Cancer) investigators to address analytical needs arising from individual projects. In the present award
period, the Core has been a critical and effective component of the YSILC. In the next award period, we will
further strengthen our effort. We will keep our open door policy and interact with all YSILC investigators on a
regular basis. The Core will keep playing a critical role in accomplishing the projects’ goals by ensuring that all
studies are rigorously designed, executed, analyzed, and reported. We will also take an important role in data
management and ensure that all data are properly managed and protected. All NIH guidelines on data publication
and sharing will be properly followed. The Core will also contribute to the YSILC and broader lung cancer
community by developing more effective analytics and by being involved in training and education.
The specific aims are as follows. Aim 1: Provide strong biostatistical and bioinformatics support to all
YSILC projects and investigators. The Core will maintain regular and dynamic interactions with all
investigators. We will be available to all investigators of the projects, other Cores, and projects funded through
the Developmental Research Program (DRP) and Career Enhancement Program (CEP). The Core has been
and will remain actively involved in the whole spectrum of study design. In execution, we will ensure that the
plans are rigorously followed. We will closely monitor study progress, conduct regular monitoring and analysis,
and revisit/revise study designs if needed. After data collection is completed, we will conduct comprehensive
analysis using existing as well as new methods and assist in preparing manuscripts, abstracts, posters, and
grant applications. Aim 2: Provide effective data management for all projects. Our Core, along with the
Administrative and Biospecimen Cores, will offer cost-effective and efficient data management services using a
centralized data management system, which will reduce data management burden for individual investigators
and projects and also guarantee the uniformity of collected data. We will ensure that downstream analyses are
fully taken into consideration in the process and that all NIH data-sharing regulations are properly followed, which
includes depositing properly curated data to public repositories. Aim 3: Develop innovative biostatistical and
bioinformatics methods. The Core has been and will keep developing and implementing state-of-the-art new
analysis methods tailored to lung cancer data. This effort will facilitate more effective utilization of the YSILC
data, foster lung cancer analytic research, and benefit the broad research community.
The Core will be co-led by Drs. Hongyu Zhao (bioinformatics) and Shuangge Ma (biostatistics). A stellar team
has been assembled, with extensive experiences and all the necessary expertise.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Cancer Emulation Analysis with Deep Neural Network
-
批准号:10725293
-
项目类别:
-
资助金额:$16.75万
-
财政年份:2023
-
负责人:Shuangge Ma
-
依托单位:
Deep Learning-based Emulation Analysis: Methodological Developments and Case Studies
-
批准号:10515491
-
项目类别:
-
资助金额:$12.56万
-
财政年份:2022
-
负责人:Shuangge Ma
-
依托单位:
Deep Learning-based Emulation Analysis: Methodological Developments and Case Studies
-
批准号:10676303
-
项目类别:
-
资助金额:$12.56万
-
财政年份:2022
-
负责人:Shuangge Ma
-
依托单位:
Integrated Cancer Modeling: A New Dimension
-
批准号:9812144
-
项目类别:
-
资助金额:$8.38万
-
财政年份:2019
-
负责人:Shuangge Ma
-
依托单位:
Assisted Network-based Analysis of Cancer Gene Expression Studies
-
批准号:9306472
-
项目类别:
-
资助金额:$8.38万
-
财政年份:2017
-
负责人:Shuangge Ma
-
依托单位:
Novel Methods for Identifying Genetic Interactions for Cancer Prognosis
-
批准号:10668282
-
项目类别:
-
资助金额:$38.99万
-
财政年份:2016
-
负责人:Shuangge Ma
-
依托单位:
Novel Methods for Identifying Genetic Interactions for Cancer Prognosis
-
批准号:10311368
-
项目类别:
-
资助金额:$39.78万
-
财政年份:2016
-
负责人:Shuangge Ma
-
依托单位:
Novel methods for identifying genetic interactions in cancer prognosis
-
批准号:9079917
-
项目类别:
-
资助金额:$38.28万
-
财政年份:2016
-
负责人:Shuangge Ma
-
依托单位:
Novel Methods for Identifying Genetic Interactions for Cancer Prognosis
-
批准号:10451680
-
项目类别:
-
资助金额:$38.99万
-
财政年份:2016
-
负责人:Shuangge Ma
-
依托单位:
Penalization methods for identifying gene envrionment interactions and applications to melanoma and other cancer types
-
批准号:9238753
-
项目类别:
-
资助金额:$14.49万
-
财政年份:2014
-
负责人:Shuangge Ma
-
依托单位:
Development of Integrated Analysis Methods and Applications to TCGA data
-
批准号:8786877
-
项目类别:
-
资助金额:$8.33万
-
财政年份:2014
-
负责人:Shuangge Ma
-
依托单位:
Development of Integrated Analysis Methods and Applications to TCGA data
-
批准号:8636653
-
项目类别:
-
资助金额:$8.33万
-
财政年份:2014
-
负责人:Shuangge Ma
-
依托单位:
Penalization methods for identifying gene envrionment interactions and applications to melanoma and other cancer types
-
批准号:8990829
-
项目类别:
-
资助金额:$14.49万
-
财政年份:2014
-
负责人:Shuangge Ma
-
依托单位:
Penalization methods for identifying gene envrionment interactions and applications to melanoma and other cancer types
-
批准号:8807194
-
项目类别:
-
资助金额:$14.49万
-
财政年份:2014
-
负责人:Shuangge Ma
-
依托单位:
Robust rank-based methods and detection of GXE in cancer etiology and survival
-
批准号:8617256
-
项目类别:
-
资助金额:$14.05万
-
财政年份:2012
-
负责人:Shuangge Ma
-
依托单位:
Robust rank-based methods and detection of GXE in cancer etiology and survival
-
批准号:8216973
-
项目类别:
-
资助金额:$14.41万
-
财政年份:2012
-
负责人:Shuangge Ma
-
依托单位:
Robust rank-based methods and detection of GXE in cancer etiology and survival
-
批准号:8443395
-
项目类别:
-
资助金额:$13.6万
-
财政年份:2012
-
负责人:Shuangge Ma
-
依托单位:
Novel Methods for Integrative Analysis of Cancer Genomic Data
-
批准号:8484365
-
项目类别:
-
资助金额:$30.32万
-
财政年份:2010
-
负责人:Shuangge Ma
-
依托单位:
Novel Methods for Integrative Analysis of Cancer Genomic Data
-
批准号:7983793
-
项目类别:
-
资助金额:$34.64万
-
财政年份:2010
-
负责人:Shuangge Ma
-
依托单位:
Novel Methods for Integrative Analysis of Cancer Genomic Data
-
批准号:8081058
-
项目类别:
-
资助金额:$32.27万
-
财政年份:2010
-
负责人:Shuangge Ma
-
依托单位:
海外基金