# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块1号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #库(sscore)选项(宽度= 60)库(affydata) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块2号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #数据(稀释)# #获得数据的示例# #包的路径目录路径名< -执行(“医生”,包=“sscore”)玻璃纸< -稀释(c (1、3)) # # sscore只需要第一个2样品/条件。基本的< - SScore (celfile玻璃纸。路径=路径名,科幻小说= c (4.46, 5.72), SDT = c (57.241, 63.581), rm.extra = FALSE) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块3号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # exprs (SScore.basic)[1:20] # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块数量4:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #标签< - c(0, 0, 0, 1, 1, 1) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块5号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #(稀释)数据路径名< -执行(“医生”,包=“sscore”)玻璃纸< -稀释sscore。多< - SScore(玻璃纸,classlabel = c(0, 0, 1, 1),科幻小说= c (4.46, 6.32, 5.72, 9.22), SDT = c (57.241, 53.995, 63.581, 69.636), celfile.path =路径名,rm.extra = FALSE) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块6号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # exprs (SScore.multi)[1:20] # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块7号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #(稀释)数据路径名< -执行(“医生”,包=“SScore”)比较< -矩阵(c (1、2、1, 3, 4), ncol = 2, byrow = TRUE) SScoreBatch。基本< SScoreBatch(比较=比较稀释,科幻小说= c (4.46, 6.32, 5.72, 9.22), SDT = c (57.241, 53.995, 63.58,169.636), celfile.path =路径名,rm.extra = FALSE) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块8号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # exprs (SScoreBatch.basic)[1:10], # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块9号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # sscores < - exprs (SScore.basic) # # # #提取S-Score值找到那些大于3 SD signif <——geneNames(稀释)(abs (sscores) > = 3) # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # #块10号:# # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # sscores < - exprs (SScore.basic) # #提取p.values S-Score值。1 < - 1 - pnorm (abs (sscores)) # #找到相应的# #片面的假定值p.values。2 < - 2 * (1 - pnorm (abs (sscores))) # #找到相应的# #双边假定值