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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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MLOmics:用于机器学习的癌症多态数据库.

Ziwei Yang1,2, Rikuto Kotoge2, Xihao Piao2

  • 1Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan.

Scientific data
|May 30, 2025
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概括
此摘要是机器生成的。

MLOmics是一个新的开放癌症多omics数据库,旨在用于机器学习. 它为32种癌症类型提供高质量的预处理数据,以推进生物信息学和癌症研究.

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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
  • 癌症研究 癌症研究
  • 机器学习 机器学习

背景情况:

  • 机器学习 (ML) 在多omics癌症研究中显示出前景.
  • 高质量的预处理数据集对于ML模型开发至关重要.
  • 现有的公共数据库,如TCGA和LinkedOmics,并没有针对ML模型进行优化.

研究的目的:

  • 介绍MLOmics,一个开放的癌症多omics数据库.
  • 促进生物信息学和机器学习模型的开发和评估.
  • 为癌症多组分析提供一个易于使用的资源.

主要方法:

  • 开发了MLOmics,一个开放访问的数据库.
  • 综合了来自32种癌症类型的8,314名患者样本的多组数据.
  • 包括分层特征,广泛的基线,并支持下游分析.

主要成果:

  • MLOmics为所有32种癌症类型提供全面的多omics数据.
  • 该数据库包含8,314个患者样本,具有四种omics类型.
  • 功能包括分层数据,基线和生物知识链接.

结论:

  • MLOmics是ML驱动的癌症研究的宝贵资源.
  • 该数据库简化了生物信息学工具的开发和评估.
  • 促进癌症多学科的跨学科分析.