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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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相关实验视频

Updated: Jul 10, 2025

A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
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A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

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MiTree:一个统一的网络云分析平台,用于用户友好和可解释的微生物群数据挖掘,使用基于树的方法.

Jihun Kim1, Hyunwook Koh1

  • 1Department of Applied Mathematics and Statistics, The State University of New York, Korea (SUNY Korea), Incheon 21985, Republic of Korea.

Microorganisms
|November 25, 2023
PubMed
概括
此摘要是机器生成的。

MiTree提供了一个可解释的,用户友好的平台,用于使用基于树的机器学习分析人类微生物群数据. 该工具有助于疾病预测,诊断和治疗开发,使研究人员和临床医生能够访问复杂的数据.

关键词:
分类和回归研究.人类微生物组的人类微生物组机器学习是机器学习.微生物组数据分析分析基于树的方法.网络 云计算 云计算

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相关实验视频

Last Updated: Jul 10, 2025

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A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model

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科学领域:

  • 微生物组研究 微生物组研究
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 下一代测序已经推进了人类微生物组的研究.
  • 机器学习为分析复杂的微生物组数据提供了潜力.
  • 当前的机器学习方法往往缺乏可解释性,需要编程技能.

研究的目的:

  • 推出MiTree,一个统一的网络云分析平台,用于用户友好和可解释的微生物群数据挖掘.
  • 为研究人员和临床医生提供一个可访问的工具来分析微生物组数据.
  • 为了促进基于微生物组的疾病预测,诊断,治疗和预防.

主要方法:

  • MiTree使用基于树的学习方法:决策树,随机森林和梯度增强.
  • 该平台支持分类和回归分析.
  • 分析可以使用或不使用共变量调整进行.

主要成果:

  • MiTree为微生物组数据挖掘提供了一种可解释的方法.
  • 该平台是为用户友好而设计的,不需要编程专业知识.
  • MiTree适用于基于微生物组的疾病预测建模.

结论:

  • MiTree是微生物组研究的可访问和可解释的数据挖掘工具.
  • 该平台可以为基于微生物组的诊断,治疗和预防提供新的见解.
  • MiTree是一个开源软件,可通过Web服务器使用.