# #——依赖性,警告= FALSE,消息= FALSE ---------------------------- 库(mpra ) ## -------------------------------------------------------------------------- < E - 4 B < - 3 # #的元素数量的条形码s < - nt < - 2 # 4 #样品/组织的组织set.seed rna(434) < -矩阵(rpois (E * B * *元,λ= 30),nrow = E * B, ncol = s * nt) dna < -矩阵(rpois (E * B * *元,λ= 30),nrow = E * B, ncol = s * nt) rn < -。字符(外(paste0(“barcode_ seq_len (B),“_”),paste0(“elem_ seq_len (E)),有趣=“paste0”))cn < - c (paste0(“liver_ seq_len (s)), paste0(“kidney_ seq_len (s))) rownames (rna) < - rn rownames (dna) < - rn colnames (rna) < - cn colnames (dna) < - cn rna dna ## -------------------------------------------------------------------------- 开斋节< -代表(paste0(“elem_ seq_len (E)),每个= B)宰牲节 ## -------------------------------------------------------------------------- eseq < -复制(E,粘贴(样本(c(“A”、“T”、“c”,“G”),10,取代= TRUE),崩溃= " "))eseq < -代表eseq (eseq,每个= B) ## -------------------------------------------------------------------------- mpraset_example < - MPRASet (DNA = DNA, RNA RNA,开斋节=开斋节,eseq = eseq,条形码mpraset_example = NULL) ## -------------------------------------------------------------------------- < E - 4 B < - 3 # #的元素数量的条形码(s < - 4 #样品总数nalleles < - 2 #等位基因数set.seed rna(434) < -矩阵(rpois (E * B * s * nalleles,λ= 30),nrow = E * B, ncol = s * nalleles) dna < -矩阵(rpois (E * B * s * nalleles,λ= 30),nrow = E * B, ncol = s * nalleles) rn < -。字符(外(paste0(“barcode_ seq_len (B),“_”),paste0(“elem_ seq_len (E)),有趣=“paste0”))cn < - c (paste0(“allele1_sample seq_len (s)), paste0(“allele2_sample seq_len (s))) rownames (rna) < - rn rownames (dna) < - rn colnames (rna) < - cn colnames (dna) < - cn rna dna ## -------------------------------------------------------------------------- mpraset_example2 < - MPRASet (DNA = DNA, RNA RNA,开斋节=开斋节,eseq = eseq,条形码mpraset_example2 = NULL) ## -------------------------------------------------------------------------- 数据(mpraSetExample ) ## ---- 无花果= TRUE ------------------------------------------------------------- 设计< - data.frame (intcpt = 1,游离= grepl(“太”,colnames (mpraSetExample))) mpralm_fit < mpralm (= mpraSetExample对象设计=设计、总=“的意思是”,规范化= TRUE, model_type =“indep_groups”,情节= TRUE ) ## -------------------------------------------------------------------------- toptab < - topTable (mpralm_fit系数= 2,数量=正)toptab6 < -头(toptab) # #——printToptab10 --------------------------------------------------------- rownames (toptab6) rownames (toptab6) < -零toptab6 # #——sessionInfo,结果=“黑名单”,回声= FALSE ------------------------------- sessionInfo ()