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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

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Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
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pyBiodatafuse:通过模块化查询在整个生物医学资源中扩展数据的互操作性.

Yojana Gadiya1, Javier Millán Acosta2, Ammar Ammar2

  • 1Enveda, Boulder, CO 80301, United States.

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概括

pyBiodatafuse通过从omics数据创建动态知识图 (KG) 来简化生物医学数据的整合. 这个开源的Python工具简化了研究人员的分析,使生物发现更快.

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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 数据科学数据科学数据科学

背景情况:

  • 与公共数据库整合多样化的omics数据对于理解复杂的生物机制至关重要.
  • 由于格式,来源和协调的需要不同,数据集成是具有挑战性的.
  • 现有的omics数据集成方法通常是复杂和耗时的.

研究的目的:

  • 介绍pyBiodatafuse,这是一个基于查询的Python工具,用于无集成生物医学数据库.
  • 提供一个模块化框架,简化数据处理和知识图 (KG) 创建.
  • 支持基于图形的分析,并促进特定背景的知识表示.

主要方法:

  • 从基因或代谢物标识符开发了一个动态的,特定于环境的KG生成管道.
  • 实现了一个用户友好的界面,可供研究人员使用,具有不同的计算专业知识.
  • 为Cytoscape,Neo4j和GraphDB等平台创建了插件,用于本地KG托管 (属性和RDF图形).

主要成果:

  • pyBiodatafuse可以在飞行中创建KG,简化omics数据集成.
  • 该工具有助于生成适应性和特定于环境的知识表示.
  • 通过使用差异性基因表达数据创建后COVID综合征的KG来证明实用性.

结论:

  • pyBiodatafuse通过简化复杂的数据整合挑战,赋予研究人员权力.
  • 该工具通过减少数据管理复杂性来促进更快的生物发现.
  • 它提供了一个多功能解决方案,用于构建和分析特定环境的知识图.