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还不是VIP/贵宾
- 威望
- 0 级
- 论坛币
- 5 个
- 通用积分
- 0
- 学术水平
- 0 点
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- 0 点
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- 0 点
- 经验
- 83 点
- 帖子
- 4
- 精华
- 0
- 在线时间
- 17 小时
- 注册时间
- 2019-8-13
- 最后登录
- 2022-4-3
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4论坛币
id | B cells naive | B cells memory | Plasma cells | T cells CD8 | T cells CD4 naive | T cells CD4 memory resting | T cells CD4 memory activated | T cells follicular helper | T cells regulatory (Tregs) | T cells gamma delta | NK cells resting | NK cells activated | Monocytes | Macrophages M0 | Macrophages M1 | Macrophages M2 | Dendritic cells resting | Dendritic cells activated | Mast cells resting | Mast cells activated | Eosinophils | Neutrophils | 1 | 0.11826622 | 0 | 0.18725566 | 0.0825916 | 0 | 0.12439993 | 0 | 0.00948341 | 0 | 0 | 0.06391741 | 0.00544186 | 0.0484135 | 0 | 0.00078692 | 0.16844597 | 0.0619187 | 0 | 0.12907882 | 0 | 0 | 0 | 2 | 0.15197035 | 0 | 0.1855595 | 0.06994096 | 0 | 0.04370553 | 0 | 0.00611278 | 0.01511758 | 0 | 0.01885103 | 0.00530484 | 0.01463 | 0 | 0.00138838 | 0.19839095 | 0.03385533 | 4.41E-05 | 0.25512868 | 0 | 0 | 0 | 3 | 0.05809158 | 0.0796556 | 0.01742153 | 0.19891486 | 0 | 0.17296414 | 0.02108818 | 0.01370105 | 0 | 0 | 0.11284013 | 0 | 0.03965057 | 0 | 0.01543053 | 0.17220614 | 0 | 0.01497963 | 0.03061786 | 0.02283899 | 0 | 0.02959921 | 4 | 0.01254683 | 0.07265487 | 0.08881109 | 0.1075312 | 0 | 0.03059072 | 0.0231192 | 0.05635669 | 0.05617409 | 0 | 0.125394 | 0 | 0.10598838 | 0 | 0.01589224 | 0.12246793 | 0 | 0.00603928 | 0 | 0.07818332 | 0 | 0.09825016 | 5 | 0.07650204 | 0 | 0.1013614 | 0.05905612 | 0 | 0.09327195 | 0 | 0.02950609 | 0 | 0 | 0.03543004 | 0.01960896 | 0.02023386 | 0 | 0 | 0.3605778 | 0.00535786 | 0 | 0.19881698 | 0 | 0 | 0.0002769 | 6 | 0.00237062 | 0 | 0 | 0.08172594 | 0 | 0.17146872 | 0 | 0.01623844 | 0.00039878 | 0 | 0 | 0.0311613 | 0.02023978 | 0 | 0.01331926 | 0.31302188 | 0.03674968 | 0 | 0.31330559 | 0 | 0 | 0 | 7 | 0.05387037 | 0.03155722 | 0.05155959 | 0.19311834 | 0 | 0.19410838 | 0 | 0.10373183 | 0.01215986 | 0 | 0.05750579 | 0.01217146 | 0.03156875 | 0 | 0.01132437 | 0.20740876 | 0 | 0 | 0.02981808 | 0 | 0 | 0.01009719 | 8 | 0 | 0.21879579 | 0.07304974 | 0.1479532 | 0 | 0.01600877 | 0 | 0.08512496 | 0 | 0 | 0.04022062 | 0.01455777 | 0.02868674 | 0 | 0 | 0.14625729 | 0.01516988 | 0.02207139 | 0.18862234 | 0 | 0 | 0.00348151 | 9 | 0.14911905 | 0.06909256 | 0 | 0.15115819 | 0 | 0.17102034 | 0 | 0.03833852 | 0.02374462 | 0 | 0.01150715 | 0.00414962 | 0.04565422 | 0 | 0.01054363 | 0.22278709 | 0 | 0.01173911 | 0.0911459 | 0 | 0 | 0 | 10 | 0.20154774 | 0 | 0.1663826 | 0.21533574 | 0 | 0.12506152 | 0 | 0.04915535 | 0.02011146 | 0 | 0.01601836 | 0 | 0.01887043 | 0 | 0.01789576 | 0.08643327 | 0 | 0 | 0.05775151 | 0.02543626 | 0 | 0 | 11 | 0.06183112 | 0 | 0.04261998 | 0.05870415 | 0 | 0.08391047 | 0 | 0.04001839 | 0 | 0 | 0.00301464 | 0.02465648 | 0.08118667 | 0 | 0 | 0.24478284 | 0.01545453 | 0.03327859 | 0.31054214 | 0 | 0 | 0 | 12 | 0 | 0.05481877 | 0.00307822 | 0.14159155 | 0 | 0.1853971 | 0 | 0.08522265 | 0.07465162 | 0 | 0 | 0.05802825 | 0.03160373 | 0 | 0 | 0.11670966 | 0.10295829 | 0.00276646 | 0.09567247 | 0 | 0 | 0.04750124 | 13 | 0.11182837 | 0.08912494 | 0.04077401 | 0.11519739 | 0 | 0.1320353 | 0 | 0.08327243 | 0 | 0 | 0.03588802 | 0 | 0.0274545 | 0 | 0.00141743 | 0.23653874 | 0 | 0.03084678 | 0.09562208 | 0 | 0 | 0 | 14 | 0 | 0.03598862 | 0.02785588 | 0.16922611 | 0 | 0 | 0.05154306 | 0.01770623 | 0.00986381 | 0 | 0.0583125 | 0.00725273 | 0.03493541 | 0 | 0.13481504 | 0.20534805 | 0 | 0.0913251 | 0.15320001 | 0 | 0 | 0.00262743 | 15 | 0.09206536 | 0 | 0.07907354 | 0.12285395 | 0 | 0.12604173 | 0 | 0.03620344 | 0.00412278 | 0 | 0.09003586 | 0 | 0.03179048 | 0 | 0.02206401 | 0.11217472 | 0 | 0.00350086 | 0.25985939 | 0 | 0 | 0.0202139 | 16 | 0.12651593 | 0 | 0.10824509 | 0.05838519 | 0 | 0.09870039 | 0 | 0.09451476 | 0 | 0 | 0 | 0.02469132 | 0.03068623 | 0 | 0 | 0.24354705 | 0.01234094 | 0.01062373 | 0.19174938 | 0 | 0 | 0 | 17 | 0.22002392 | 0 | 0.06642489 | 0.12030135 | 0 | 0.13980856 | 0 | 0.05217754 | 0 | 0 | 0.0204804 | 0.01467495 | 0.04045743 | 0 | 0 | 0.1077576 | 0.05174541 | 0 | 0.16614794 | 0 | 0 | 0 | 18 | 0.00049896 | 0.1737874 | 0.05349715 | 0.07949763 | 0 | 0.10923258 | 0 | 0.12831909 | 0 | 0 | 0.00337993 | 0.00401535 | 0.01972607 | 0 | 0 | 0.11315199 | 0 | 0.05670916 | 0.14213104 | 0.02712928 | 0.08139967 | 0.00752469 | 19 | 0.05756209 | 0.08351501 | 0.10692023 | 0.11252937 | 0 | 0.08071665 | 0.01766351 | 0.07780425 | 0 | 0 | 0.03093311 | 0 | 0.11259922 | 0 | 0.01028378 | 0.1596525 | 0.02964641 | 0.01365822 | 0.10308721 | 0 | 0 | 0.00342842 | 20 | 0.05505009 | 0.16212112 | 0.0294367 | 0.11159822 | 0 | 0.05079706 | 0 | 0.09513972 | 0 | 0 | 0 | 0.02773165 | 0.00736073 | 0 | 0 | 0.16153781 | 0.02691855 | 0.03801681 | 0.23429154 | 0 | 0 | 0 | 21 | 0 | 0.35102556 | 0 | 0.02110995 | 0 | 0.0089614 | 0 | 0.08467349 | 0 | 0 | 0.06032923 | 0.02185678 | 0.01345187 | 0 | 0.00020905 | 0.20338171 | 0.04602821 | 0.00807884 | 0.1808939 | 0 | 0 | 0 | 22 | 0.13796621 | 0.03060972 | 0.01857302 | 0.06274116 | 0 | 0.10666208 | 0 | 0.13720245 | 0 | 0 | 0.03031291 | 0.03139332 | 0.01958943 | 0 | 0.06618662 | 0.18242622 | 0 | 0.00271545 | 0.16058309 | 0 | 0 | 0.01303834 | 23 | 0.0072006 | 0.11649509 | 0.04922075 | 0.02751011 | 0 | 0.16710426 | 0 | 0.12347204 | 0 | 0 | 0.02319637 | 0 | 0.08570437 | 0 | 0 | 0.12018129 | 0.06506007 | 0.06902213 | 0.13908498 | 0.00156358 | 0 | 0.00518435 | 24 | 0.04031068 | 0 | 0.00176432 | 0.00446399 | 6.61E-05 | 0.05584037 | 0 | 0.00126901 | 0 | 0 | 0.02264961 | 0 | 0.34463646 | 0 | 0.00214235 | 0.35682024 | 0 | 0.00426075 | 0.10232124 | 0 | 0 | 0.06345487 |
R提示
> for(i in 1:ncol(rt)){
+ normalData=rt[1:normal,i]
+ tumorData=rt[(normal+1):(normal+tumor),i]
+ vioplot(normalData,at=3*(i-1),lty=1,add = T,col = 'blue')
+ vioplot(tumorData,at=3*(i-1)+1,lty=1,add = T,col = 'red')
+ wilcoxTest=wilcox.test(normalData,tumorData)
+ p=round(wilcoxTest$p.value,3)
+ mx=max(c(normalData,tumorData))
+ lines(c(x=3*(i-1)+0.2,x=3*(i-1)+0.8),c(mx,mx))
+ text(x=3*(i-1)+0.5,y=mx+0.02,labels=ifelse(p<0.001,paste0("p<0.001"),paste0("p=",p)),cex = 0.8)
+ text(seq(1,64,3),-0.05,xpd = NA,labels=colnames(rt),cex = 1,srt = 45,pos=2)
+ }
NULL
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Error in cut.default(x, breaks = breaks) : 'breaks' are not unique
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