Core F: Artificial Intelligence and Bioinformatics

核心F：人工智能和生物信息学

• 批准号: 10438909
• 负责人: Su-In Lee
• 金额: $ 11.53万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10438909
• 关键词: Aging; Area; Artificial Intelligence; Big Data; Bioinformatics; Biological Assay; Biology of Aging; Biomedical Research; Caenorhabditis elegans; Collaborations; Communities; Computer Vision Systems; Consult; Consultations; Data Analyses; Data Set; Ensure; Environment; Experimental Designs; Genes; Genotype; Geroscience; Goals; Laboratories; Longevity; Methodology; Multiomic Data; Phenotype; Pilot Projects; Proteomics; Publications; Reproducibility; Research; Research Personnel; Research Project Grants; Resources; Services; Shock; Transcript; Yeasts; automated algorithm; design; digital imaging; experimental study; feature detection; healthspan; high dimensionality; interest; metabolomics; multiple omics; service utilization

CORE F: ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS – SUMMARY/ABSTRACT This Core will meet two major unmet needs for our Nathan Shock Center and the geroscience community at large. First, we will offer integrated statistical and bioinformatics consulting for all Center-supported projects from experimental design through to publication. This ensures that our Center resources have the greatest opportunity to support high-impact studies in aging research and also meets an important goal of enhancing rigor and reproducibility in biomedical research. Second, we will bring state-of-the-art computational approaches, particularly in the area of Artificial Intelligence (AI), to support Center users and maximize the impact of the other Resource Cores.

核心F：人工智能和生物信息学-摘要/摘要 该核心将满足我们的内森休克中心和老年科学社区的两个主要未满足的需求， 大.首先，我们将为中心支持的所有项目提供综合统计和生物信息学咨询 从实验设计到出版。这确保了我们的中心资源具有最大的 有机会支持老龄化研究中的高影响力研究，也符合提高 生物医学研究的严谨性和可重复性。第二，我们将带来最先进的计算 方法，特别是在人工智能（AI）领域，以支持中心用户并最大限度地提高 其他资源核心的影响。