## ----------------------------------------------------------------------------- exprMatr < -矩阵(样本(1:10,100,取代= TRUE), nrow = 20) rownames (exprMatr) < -粘贴(“基因”,1:20,9 = " ")colnames (exprMatr) < -粘贴(1:5“sample”,9月(exprMatr = " ")的头 ) ## ----------------------------------------------------------------------------- 库(GENIE3) set.seed(123) #结果的再现性weightMat < - GENIE3 (exprMatr ) ## ----------------------------------------------------------------------------- 暗(weightMat) weightMat [1:5, 1:5 ] ## ----------------------------------------------------------------------------- # 基因作为候选监管机构监管机构< - c(2、4、7)#或者:监管机构< - c(“Gene2”、“Gene4”,“Gene7”)weightMat < - GENIE3 (exprMatr,监管者=监管机构 ) ## ----------------------------------------------------------------------------- regulatorsList < -列表(“Gene1”= rownames (exprMatr)[1:10],“Gene2”= rownames (exprMatr)[20],“Gene20”= rownames (exprMatr) [15:20]) set.seed (123) weightList < - GENIE3 (exprMatr nCores = 1,目标=名字(regulatorsList),监管机构= regulatorsList,returnMatrix = FALSE) # #——eval = FALSE --------------------------------------------------------------- # # 使用Extra-Trees (ET)方法# # 7在树的每个节点随机选择的候选人监管者# # 5树/合奏# weightMat < - GENIE3 (exprMatr treeMethod =“外星人”,K = 7, nTrees = 50) # # - eval = FALSE --------------------------------------------------------------- # set.seed(123) #结果的再现性# weightMat < GENIE3 (exprMatr nCores = 4,verbose = TRUE ) ## ----------------------------------------------------------------------------- ? GENIE3 ## ----------------------------------------------------------------------------- linkList < - getLinkList (weightMat)暗(linkList)头(linkList) # # - eval = FALSE --------------------------------------------------------------- # linkList < - getLinkList (weightMat reportMax = 5) # # - eval = FALSE --------------------------------------------------------------- # linkList < - getLinkList (weightMat阈值= 0.1)