Colorado HNC SPORE Data Sciences Core

科罗拉多州 HNC SPORE 数据科学核心

• 批准号: 10477445
• 负责人: Dexiang Gao
• 金额: $ 13.46万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10477445
• 关键词: Animal Experiments; Area; Award; Basic Science; Bioinformatics; Bioinformatics Shared Resource; Biological Markers; Biometry; Categories; Cells; Clinic; Clinical Data; Clinical Research; Clinical Trials; Clinical Trials Design; Collaborations; Colorado; Communication; Community of Practice; Data Analyses; Data Collection; Data Science; Data Science Core; Development; Doctor of Philosophy; Ensure; Epidemiologist; Evaluation; Experimental Designs; Extramural Activities; Faculty; Focus Groups; Formulation; Genetic; Genetic Transcription; Genomics; Grant; Head and Neck Cancer; Head and neck structure; Human Resources; Immunological Models; Immunotherapy; In Vitro; Individual; Informatics; Investigation; Laboratories; Lead; Leadership; Link; Malignant Neoplasms; Manuscripts; Methods; Mission; Multiomic Data; Mus; Observational Study; Outcome; Paper; Pathology; Peer Review; Play; Population Study; Predictive Value; Preparation; Process; Proteins; Proteomics; Publishing; Radiation; Recording of previous events; Reporting; Research; Research Design; Research Methodology; Research Personnel; Research Support; Resources; Retrieval; Ribosomes; Role; Sample Size; Services; Speed; Statistical Models; Structure; T cell receptor repertoire sequencing; T-Lymphocyte; Techniques; Testing; The University of Colorado Cancer Center; Therapeutic; Time; Translating; Translational Research; Universities; anticancer research; base; career; data management; database design; density; design; effectiveness research; electronic data capture system; experience; improved; in vivo; innovation; large datasets; member; next generation; novel; pre-clinical research; preclinical study; predictive modeling; prognostic value; programs; quality assurance; response; single cell mRNA sequencing; single-cell RNA sequencing; small molecule; software development; therapeutic target; tool; trafficking; translational study; whole genome

SUMMARY, Data Science Core The University of Colorado Head and Neck Cancer (CO HNC) SPORE Data Science Core (DSC) provides services for biostatistics, informatics, bioinformatics, and other data science related analyses. The DSC staff is comprised of five Ph.D. and one Master’s level researchers who collectively offer substantial expertise in clinical trial design and analysis; statistical genetics, multi-omics data analysis; software development; predictive modeling; and cancer-focused bioinformatics. The core includes a comprehensive team of biostatisticians, bioinformaticians, and an epidemiologist, that form a hub of researchers with the common denominator of being engaged in HNC research through exisiting collaborations. The DSC has the overarching objective to build a community of practice related to HNC data science. All staff are operationally managed and overseen by the DSC Director, Dexiang Gao Ph.D, and like all faculty in the CO HNC SPORE the DSC faculty are members of the University of Colorado Cancer Center (UCCC), specifically the Biostatistical and Bioinformatics shared resource (BBSR). The BBSR has a long-standing history of collaboration with the Head and Neck research team over the past 10 years. Faculty biostatisticians and bioinformaticians are engaged in the development of novel methods and tools that enhance the HNC SPORE. Since 2015, faculty within the DSC published ~20 peer- reviewed manuscripts (with an additional 5 in preparation) and collaborated on 9 peer-reviewed extramural R01 grants with HNC SPORE investigators, 4 of which are active awards. By harnessing these established collaborations, the DSC can effectively and efficiently support CO HNC SPORE projects. Integrating personnel within a Core to support all SPORE programs will maximize available resources to increase the DSC’s scientific impact. Specifically, the DSC will provide assistance with research hypotheses formulation, clinical trial designs, sample size determination, analytical and database design, data collection, analyses, management and storage. This support will continue through management and coordination of accumulating research and clinical data analyses, assistance with manuscript preparation and clinical trial reports in relation to key quantitative findings and rigorous scientific conclusions. Thus, the DSC will play a critical role in clinical trials, as well as basic science and translational studies.

摘要：数据科学核心