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WART Mapping
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description test 1
Práctica calificada
DPAA_Presenation_v1
Practica Calificada 1
Sanchez Zevallos Ivan Segundo 24140045
Heatmap
H.H. = read.table("bionform/GSE46224_Yang_et_al_human_heart_RNASeq.txt/GSE46224_Yang_et_al_human_heart_RNASeq.txt") colnames(H.H.) = H.H.[1,] rownames(H.H.) = H.H.[ , 1] Human_H = H.H.[-1,-1] class(Human_H) # PREPARATION Human_H Human_Hr =as.matrix(Human_H) is.matrix(Human_Hr) Human_Hrt = apply(X = Human_Hr, MARGIN = 1 , FUN = var) # SELECT THE MOST 100 VARIANCE GENE Human_gene = names(Human_Hrt[order(Human_Hrt , decreasing = T)][1:100]) human_heart = Human_H[Human_gene , ] human_heart_fl = apply(human_heart , 2 ,FUN = as.numeric) pheatmap(mat = human_heart_fl , scale = "row" , cluster_rows = T , cluster_cols = T , cutree_cols = 5 , show_rownames = T , show_colnames = T, main = "Human_Heart data") str(human_heart_fl)
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