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.
Methods Mol Biol. 2020;2096:197-215. doi: 10.1007/978-1-0716-0195-2_15.
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.
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。
