复杂数据集的网络建模。
Network Modeling of Complex Data Sets.
机构信息
Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Knoxville Tennessee, Knoxville, TN, USA.
出版信息
Methods Mol Biol. 2020;2096:197-215. doi: 10.1007/978-1-0716-0195-2_15.
Abstract
We demonstrate a selection of network and machine learning techniques useful in the analysis of complex datasets, including 2-way similarity networks, Markov clustering, enrichment statistical networks, FCROS differential analysis, and random forests. We demonstrate each of these techniques on the Populus trichocarpa gene expression atlas.
摘要
我们展示了一系列在分析复杂数据集时有用的网络和机器学习技术，包括双向相似网络、马尔可夫聚类、富集统计网络、FCROS 差异分析和随机森林。我们在胡杨基因表达图谱上演示了这些技术中的每一种。
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