TCGA学习笔记3-处理样品信息 发表于 2020-06-27 | 分类于 生物信息 | | 热度 °C 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setwd("D:/TCGA/kirc") # 切换工作目录 > library(rjson) > x <- fromJSON(file="metadata.cart.2020-06-25.json") # 读取metadata信息> n <- ncol(data) > n[1] 611> id = sample_id = rep(0,n)> id [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [43] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [85] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[127] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[169] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[211] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[253] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[295] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[337] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[379] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[421] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[463] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[505] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[547] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[589] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0> sample_id [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [43] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 [85] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[127] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[169] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[211] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[253] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[295] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[337] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[379] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[421] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[463] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[505] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[547] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0[589] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0> for(i in 1:n){+ id[i]=x[[i]]$submitter_id # 将submitter_id赋值给id+ sample_id[i]=x[[i]]$associated_entities[[1]]$entity_submitter_id # 将entity_submitter_id赋值给sample_id+ }> id # id其实就是解压后的文件名 [1] 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"TCGA-B2-3923-01A-02R-A277-07" "TCGA-CW-6093-01A-11R-1672-07"[567] "TCGA-DV-A4VZ-01A-11R-A266-07" "TCGA-CZ-5470-11A-01R-1503-07"[569] "TCGA-CZ-5982-11A-01R-1672-07" "TCGA-BP-4993-01A-02R-1420-07"[571] "TCGA-B0-4833-01A-01R-1305-07" "TCGA-CJ-4884-01A-01R-1305-07"[573] "TCGA-B0-5107-01A-01R-1420-07" "TCGA-B0-5106-01A-01R-1420-07"[575] "TCGA-BP-4781-01A-01R-1305-07" "TCGA-B0-4821-01A-01R-1503-07"[577] "TCGA-B0-4818-01A-01R-1503-07" "TCGA-CW-5587-11A-01R-1541-07"[579] "TCGA-B0-5699-11A-01R-1541-07" "TCGA-CJ-6033-11A-01R-1858-07"[581] "TCGA-CJ-4885-01A-01R-1305-07" "TCGA-BP-4342-01A-01R-1289-07"[583] "TCGA-B0-4813-01A-01R-1277-07" "TCGA-EU-5905-01A-11R-1672-07"[585] "TCGA-B4-5377-01A-01R-1503-07" "TCGA-BP-5178-01A-01R-1426-07"[587] "TCGA-B0-4690-01A-01R-1277-07" "TCGA-B8-5158-01A-01R-1420-07"[589] "TCGA-CZ-4862-01A-01R-1305-07" "TCGA-BP-4799-01A-01R-1305-07"[591] "TCGA-B8-4148-01A-02R-1325-07" "TCGA-BP-4345-01A-01R-1289-07"[593] "TCGA-BP-5010-01A-02R-1420-07" "TCGA-BP-4325-01A-02R-1289-07"[595] "TCGA-BP-4967-01A-01R-1334-07" "TCGA-B0-5706-11A-01R-1541-07"[597] "TCGA-BP-4776-01A-01R-1289-07" "TCGA-AK-3431-01A-02R-1277-07"[599] "TCGA-BP-4974-01A-01R-1334-07" "TCGA-CZ-5455-11A-01R-1503-07"[601] "TCGA-BP-4976-01A-01R-1334-07" "TCGA-A3-3387-11A-01R-1541-07"[603] "TCGA-CZ-5452-01A-01R-1503-07" "TCGA-CZ-4863-01A-01R-1503-07"[605] "TCGA-B8-A54I-01A-21R-A33J-07" "TCGA-A3-A8OX-01A-11R-A37O-07"[607] "TCGA-B0-5109-01A-02R-1420-07" "TCGA-CJ-4903-01A-01R-1426-07"[609] "TCGA-B0-4714-01A-01R-1277-07" "TCGA-B8-5550-01A-01R-1541-07"[611] "TCGA-B0-5094-01A-01R-1420-07"> dim(sample_matrix)[1] 611 2 # 611行,2列> head(sample_matrix) id sample_id1 9d5c2ed8-443b-4c71-b5b2-d9fc98b322c0_count TCGA-CZ-5457-11A-01R-1503-072 f426d6b8-5010-471c-aa9c-253269f6bc03_count TCGA-CJ-5686-01A-11R-1672-073 f0532052-b496-4435-abc4-93e23c6a68a5_count TCGA-B0-5084-01A-01R-1334-074 6c2a30ae-9435-4d9c-99dd-59d8d77f3920_count TCGA-BP-5201-01A-01R-1426-075 586afb0b-e791-4efe-b5c9-eaac6ecce723_count TCGA-B0-4845-01A-01R-1277-076 cde6e107-8870-48c2-85b9-c0f1d71bfc0e_count TCGA-B0-5812-01A-11R-1672-07> sample_info <- data.frame(id=substr(id,1,9),sample_id=substr(sample_id,1,25))> head(sample_info) id sample_id1 9d5c2ed8- TCGA-CZ-5457-11A-01R-15032 f426d6b8- TCGA-CJ-5686-01A-11R-16723 f0532052- TCGA-B0-5084-01A-01R-13344 6c2a30ae- TCGA-BP-5201-01A-01R-14265 586afb0b- TCGA-B0-4845-01A-01R-12776 cde6e107- TCGA-B0-5812-01A-11R-1672> sample_info <- sample_info[order(sample_info$id),] # 观察一下data中的列名,是从小到大排列过的,因此,这里也要从小到大排序,否则会无法对应> head(sample_info) id sample_id412 0048d446- TCGA-CZ-5465-01A-01R-1503422 0062bf7b- TCGA-BP-4355-01A-01R-128942 00a9180b- TCGA-CZ-5451-01A-01R-1503526 00c12b3c- TCGA-B0-5081-01A-01R-1334510 011ee3e1- TCGA-CZ-5454-11A-01R-1503539 015b7fde- TCGA-B0-5697-01A-11R-1541> head(data)[1:4] X0048d446. X0062bf7b. X00a9180b. X00c12b3c.ENSG00000000005.5 33 29 83 77ENSG00000000419.11 2501 1427 967 1300ENSG00000000457.12 1167 1081 574 796ENSG00000000460.15 348 247 162 321ENSG00000000938.11 899 1211 1100 2065ENSG00000000971.14 1460 4505 936 6501> colnames(data) <- sample_info$sample_id # 将data的列名替换成sample_id,因为后者包含样品是肿瘤还是正常这些信息,方便分类> head(data)[1:4] TCGA-CZ-5465-01A-01R-1503 TCGA-BP-4355-01A-01R-1289ENSG00000000005.5 33 29ENSG00000000419.11 2501 1427ENSG00000000457.12 1167 1081ENSG00000000460.15 348 247ENSG00000000938.11 899 1211ENSG00000000971.14 1460 4505 TCGA-CZ-5451-01A-01R-1503 TCGA-B0-5081-01A-01R-1334ENSG00000000005.5 83 77ENSG00000000419.11 967 1300ENSG00000000457.12 574 796ENSG00000000460.15 162 321ENSG00000000938.11 1100 2065ENSG00000000971.14 936 6501> dim(data)[1] 60482 611 # data中的行列都不改变,但是新的列名中包含样品信息,下面就可以分类了 本文作者:括囊无誉 本文链接: TCGA/TCGA3metadata/ 版权声明: 本博客所有文章均为原创作品,转载请注明出处! ------ 本文结束 ------ 坚持原创文章分享,您的支持将鼓励我继续创作! Donate WeChat Pay