Biostatistics and Quantitative Sciences Shared Resource

生物统计学和定量科学共享资源

基本信息

批准号：
10625765
负责人：
JI-HYUN LEE
金额：
$ 14.44万
依托单位：
UNIVERSITY OF FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-06-01 至 2027-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10625765
关键词：
Applications Grants Artificial Intelligence Bioinformatics Biological Assay Biometry Biostatistics Shared Resource Cancer Center Cancer Center Support Grant Cancer Research Project Cancer health equity Clinical Cancer Center Clinical Research Clinical Trials Clinical Trials Design Collaborations Complex Computational Biology Data Data Analyses Data Collection Development Diagnostic Disease Ensure Environment Epitopes Evaluation Experimental Designs Faculty Florida Funding Future Genomics Grant Guidelines Health High Performance Computing Human Resources In Vitro Individual Institution Intervention Investments Machine Learning Malignant Neoplasms Manuscripts Mediation Methodology Methods Modeling Monitor NCI Center for Cancer Research NCI-Designated Cancer Center Observational Study Peer Review Preparation Prevention Procedures Protocols documentation Publications Qualifying Randomized Reproducibility Research Research Design Research Personnel Research Support Resource Sharing Resources Safety Sample Size Science Scientist Services Site Software Engineering Statistical Data Interpretation Statistical Methods Strategic Planning Stratification System Triage United States National Institutes of Health Universities Visualization Work anticancer research cancer therapy clinical trial analysis clinical trial protocol computerized data processing cost effective data integrity data sharing deep learning design experience experimental study health disparity high throughput analysis in vivo indexing innovation member microbiome microbiome analysis model development multiple data sources next generation sequencing novel patient safety peer support predictive modeling prognostic model programs randomized trial research and development research study single-cell RNA sequencing statistics transcriptome trial design web portal

项目摘要

BIOSTATISTICS AND QUANTITATIVE SCIENCES SHARED RESOURCE: ABSTRACT Biostatistics and Quantitative Sciences Shared Resource (BQS-SR) is a University of Florida Health Cancer Center (UFHCC) managed shared resource whose objective is to provide UFHCC members with a centralized resource for biostatistics, bioinformatics, computational biology, clinical trial support, and expertise in quantitative science to ensure scientific rigor in cancer research. The BQS-SR meets this objective by providing interdisciplinary collaborative support to members across the 3 research programs at all stages of their research. BQS-SR assists with experimental design, sample size and power evaluation, randomization and stratification procedures, study execution, data analysis, and publication of new findings in the understanding, prevention, and treatment of cancer. The BQS-SR is directed by Lee (CCPS), with >20 years of experience as a member or leader of a biostatistical shared resource at NCI-Designated Cancer Centers, with support from Unit Leaders for bioinformatics and computational biology, clinical trials, and statistical genomics. BQS-SR is staffed by 12 personnel (a total of 7.5 UFHCC-supported FTE), comprised of 4 Biostatistics faculty, 1 Bioinformatics faculty, 5 Biostatistics staff scientists, and 2 Bioinformatics staff scientists. Additionally, BQS-SR serves as a liaison and matchmaker between existing campus-wide specialized quantitative scientists and UFHCC members to support specialized needs of externally funded cancer research projects. BQS-SR faculty are aligned to each of the Research Programs and Disease Site Groups to ensure ready accessibility to UFHCC members. BQS-SR promotes rigor and reproducibility by collaborating with and educating investigators, trainees, and research staff through seminars, individual sessions, and short courses tailored to cancer researchers. BQS-SR ensures the integrity of clinical research by participating in the IIT Think Tank, Scientific Review and Monitoring Committee (SRMC), and the Data Integrity and Safety Committee (DISC). The BQS-SR advances quantitative science by developing new methodologies including novel microbiome data analysis approaches and visualization for single-cell RNA-Seq data. Since 2016, BQS-SR members supported 222 unique UFHCC users (138 with peer- reviewed funding) through 286 grant submissions and reviewed 411 interventional clinical trial protocols through the SRMC and DISC. Since reorganized by Lee in 2018, the BQS-SR has received 320 support requests from 113 unique UFHCC members, with ~34% related to grant proposals, 28% for IIT development, and 20% for data analysis supporting peer-reviewed publications. BQS-SR members were co-authors on 340 cancer-relevant peer-reviewed publications 15% with IF ≥10. In alignment with the UFHCC strategic plan, Momentum 2027, the BQS-SR future plans include implementing expanded group-randomized trial designs for cancer health equity and disparities studies, developing novel graphical approaches/statistical methods for single-cell RNA-Seq data analysis, and leading the application of innovative artificial intelligence-based machine learning/deep learning for diagnostic, prognostic, and prediction model development in cancer research.

生物统计学和定量科学共享资源：摘要生物统计学和定量科学共享资源（BQS-SR）是佛罗里达大学健康癌症中心（UFHCC）管理共享资源，其目标是为UFHCC成员提供集中式生物统计学，生物信息学，计算生物学，临床试验支持和定量专家科学以确保癌症研究中的科学严谨性。 BQS-SR通过提供在研究的各个阶段，对3个研究计划的成员的跨学科协作支持。 BQS-SR有助于实验设计，样本量和功率评估，随机化和分层程序，研究执行，数据分析以及在理解，预防中发布新发现，和癌症的治疗。 BQS-SR由Lee（CCP）指导，具有20年的成员经验或在NCI指定的癌症中心的生物统计共享资源的领导者，在单位领导者的支持下生物信息学和计算生物学，临床试验和统计基因组学。 BQS-SR由12 人员（总计7.5 UFHCC支持的FTE），由4个生物统计学教师组成，1个生物信息学院，5 生物统计学人员科学家和2名生物信息学人员科学家。此外，BQS-SR充当联络现有校园范围内专业的定量科学家与UFHCC成员之间的媒人以支持外部资助的癌症研究项目的专业需求。 BQS-SR教师与每个研究计划和疾病站点组，以确保对UFHCC成员的现成可访问性。 BQS-SR 通过与调查人员，受训人员和研究人员合作和教育，促进严格和可重复性通过下水道，个人课程和针对癌症研究人员量身定制的短期课程。 BQS-SR确保通过参加IIT智囊团，科学审查和监测委员会的完整性（SRMC）和数据完整性和安全委员会（DISC）。 BQS-SR通过开发新方法，包括新型微生物组数据分析方法和可视化单细胞RNA-seq数据。自2016年以来，BQS-SR成员支持222个独特的UFHCC用户（138个与PEER- 审查资金）通过286个赠款提交，并通过 SRMC和光盘。自从Lee于2018年重组以来，BQS-SR已收到320条支持请求 113个独特的UFHCC成员，约34％与赠款有关，IIT开发28％，数据20％支持同行评审的出版物的分析。 BQS-SR成员是340个与癌症相关的合着者同行评审的出版物为15％，IF≥10。与UFHCC战略计划的一致，动力2027， BQS-SR未来计划包括为癌症健康公平实施扩展的集团随机试验设计和差异研究，开发了单细胞RNA-seq数据的新型图形方法/统计方法分析并领导基于人工智能的创新机器学习/深度学习的应用用于诊断，预后和预测模型的癌症研究模型。