Mercurial > repos > xuebing > sharplabtool
comparison alignvis.py @ 11:b7f1d9f8f3bc
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author | xuebing |
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date | Sat, 10 Mar 2012 07:59:27 -0500 |
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comparison
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10:1558594a3c2e | 11:b7f1d9f8f3bc |
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1 import sys,os | |
2 | |
3 infile = sys.argv[1] | |
4 outfile = sys.argv[2] | |
5 uselog = sys.argv[3] | |
6 subset = sys.argv[4] | |
7 reorder = sys.argv[5] | |
8 color = sys.argv[6] | |
9 scale = sys.argv[7] # rescale each row | |
10 rscript = open('tmp.r','w') | |
11 | |
12 rscript.write("x <- read.table('"+infile+"')\n") | |
13 rscript.write("nfeat <- nrow(x) \n") | |
14 rscript.write("nbin <- ncol(x) - 2\n") | |
15 rscript.write("totalcov <- x[,2]\n") | |
16 rscript.write("x <- x[,3:ncol(x)]\n") | |
17 | |
18 if subset =='subset': | |
19 rscript.write("if (nfeat*nbin > 100000) {\n") | |
20 rscript.write(" nfeat2 <- as.integer(100000/nbin)\n") | |
21 rscript.write(" subind <- sample(seq(nfeat),nfeat2)\n") | |
22 rscript.write(" x <- x[subind,]\n") | |
23 rscript.write(" totalcov <- totalcov[subind]\n") | |
24 rscript.write("}\n") | |
25 | |
26 rscript.write("pdf('"+outfile+"')\n") | |
27 | |
28 if uselog == 'uselog': | |
29 rscript.write("x <- -(log(1+as.matrix(x,nc=ncol(x)-2)))\n") | |
30 else: | |
31 rscript.write("x <- -as.matrix(x,nc=ncol(x)-2)\n") | |
32 if scale == 'scale': | |
33 rscript.write("x <- scale(x)\n") | |
34 if reorder == 'average': | |
35 rscript.write("hc <- hclust(dist(x),method= 'average')\n") | |
36 rscript.write("x <- x[hc$order,]\n") | |
37 elif reorder == 'centroid': | |
38 rscript.write("hc <- hclust(dist(x),method= 'centroid')\n") | |
39 rscript.write("x <- x[hc$order,]\n") | |
40 elif reorder == 'complete': | |
41 rscript.write("hc <- hclust(dist(x),method= 'complete')\n") | |
42 rscript.write("x <- x[hc$order,]\n") | |
43 elif reorder == 'single': | |
44 rscript.write("hc <- hclust(dist(x),method= 'single')\n") | |
45 rscript.write("x <- x[hc$order,]\n") | |
46 elif reorder == 'median': | |
47 rscript.write("hc <- hclust(dist(x),method= 'median')\n") | |
48 rscript.write("x <- x[hc$order,]\n") | |
49 elif reorder == 'sort_by_total': | |
50 rscript.write("srt <- sort(totalcov,index.return=T)\n") | |
51 rscript.write("x <- x[srt$ix,]\n") | |
52 elif reorder == 'sort_by_center': | |
53 rscript.write("srt <- sort(x[,as.integer(nbin/2)],index.return=T)\n") | |
54 rscript.write("x <- x[srt$ix,]\n") | |
55 if color == 'heat': | |
56 rscript.write("colormap = heat.colors(1000)\n") | |
57 elif color == 'topo': | |
58 rscript.write("colormap = topo.colors(1000)\n") | |
59 elif color == 'rainbow': | |
60 rscript.write("colormap = rainbow(1000)\n") | |
61 elif color == 'terrain': | |
62 rscript.write("colormap = terrain.colors(1000)\n") | |
63 else: | |
64 rscript.write("colormap = gray.colors(1000)\n") | |
65 | |
66 #rscript.write("qt <- quantile(as.vector(x),probs=c(0.1,0.9))\n") | |
67 #rscript.write("breaks <- c(min(as.vector(x)),seq(qt[1],qt[2],length.out=99),max(as.vector(x)))\n") | |
68 #rscript.write("image(t(x),col=colormap,breaks=breaks,axes=F)\n") | |
69 rscript.write("image(t(x),col=colormap,axes=F)\n") | |
70 rscript.write("dev.off()\n") | |
71 | |
72 rscript.close() | |
73 | |
74 os.system("R --slave < tmp.r") | |
75 os.system("rm tmp.r") | |
76 |