相关实验视频

Updated: Jun 21, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

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奥马达:通过多次测试进行转录组的强大聚类

Sokratis Kariotis1,2,3, Pei Fang Tan1,2, Haiping Lu4

  • 1Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Dr, 117609, Singapore, Republic of Singapore.

GigaScience
|July 11, 2024
PubMed
概括

通过机器学习,Omada自动化了无监督的转录组数据集群,使复杂的分析可访问. 该工具可靠地识别RNA测序数据中的子组,即使之前的专业知识有限.

关键词:
集群分析集群分析集群分析基因表达的基因表达方式软件工具包 软件工具包没有监督的学习学习.

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