MOESM8 of A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin

Additional file 8. Quantitative summaries of REMc clusters. File A depicts REMc results, in terms of cluster distributions of L and K interaction (â shiftâ is not used for REMc and thus is not displayed), as a way to visualize cluster differences quantitatively. File B is organized by first round clusters and plots the change in p-value for significant terms with respect to round of clustering. Clusters derived from one another and sharing enrichment of the same GO term are connected by a line. Only GO terms with a background size of 500 or smaller are included. Scroll over a symbol to see embedded detail about each GO term. The square root of the p-value is used on the y-axis to evenly distribute data.补充文件8：REMc簇的定量汇总结果。文件A展示了REMc的分析结果，以L与K交互作用的簇分布形式呈现（由于REMc不使用偏移量（shift），故未展示该指标），以此实现簇间差异的定量可视化。文件B以第一轮聚类得到的簇为分组依据，绘制了显著术语的P值随聚类轮次的变化情况。彼此衍生且共享同一基因本体（Gene Ontology，GO）术语富集结果的簇之间将以线条连接。仅纳入背景大小不超过500的GO术语。将鼠标悬停于符号之上，即可查看对应GO术语的内嵌详细信息。纵轴采用P值的平方根进行标度，以实现数据的均匀分布。