New Bioinformatics Tools For Analyzing Immunological Data

用于分析免疫数据的新生物信息学工具

• 批准号: 8508799
• 负责人: ATUL J BUTTE
• 金额: $ 17.27万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-30 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8508799
• 关键词: Bioinformatics; Biology; Cell physiology; Cell surface; Cells; Chief Cell; Communities; Complex; Computer Systems; Computers; Data; Data Set; Failure; Gene Expression; Genes; Human; Image; Imagery; Immune; Immune system; Immunity; Immunology; Influenza; Informatics; Knowledge; Literature; Measurement; Modeling; Molecular; Natural Language Processing; Process; Proteins; Research Personnel; Signaling Protein; Structure; System; Techniques; Testing; Text; Transcript; cell type; cytokine; influenza virus vaccine; knowledge base; pandemic disease; programs; respiratory virus; response; text searching; tool

The immune system, by any standard is complex. As the number of components in a system and interactions betweencomponents grows, our ability to fully comprehend the system diminishes significantly. Principally, humans in comparisonto computers, do poorly in tasks such as memorizing, searching and constructing multi-component, multi-scale images. Theneed to

无论以何种标准衡量，免疫系统都是复杂的。随着系统中组件数量的增加以及组件之间相互作用的增加，我们完全理解系统的能力显著降低。基本上，与计算机相比，人类在记忆、搜索和构建多成分、多尺度图像等任务中表现不佳。非常在理