想用r做wgcna分析,有4w多个基因,结果分出来70多个模块太多了,如果通过更改minmodulesize和mergecutheight得到更少的基因模块,是不是会不够准确,那应该怎么处理呢,求指点
net = blockwiseModules(datExpr,power= 6, # 表达矩阵,软阈值
TOMType ="unsigned", minModuleSize = 30, # 数据为无符号类型,最小模块大小为30
reassignThreshold = 0, mergeCutHeight = 0.25, #mergeCutHeight合并模块的阈值,越大模块越少
numericLabels = TRUE, pamRespectsDendro = FALSE,
saveTOMs = TRUE,
saveTOMFileBase ="femaleMouseTOM",
verbose = 3)