Mercurial > repos > iuc > scater_normalize
comparison scater-plot-tsne.R @ 1:946179ef029c draft default tip
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/scater commit 61f3899168453092fd25691cf31871a3a350fd3b"
author | iuc |
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date | Tue, 03 Sep 2019 14:28:53 -0400 |
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0:87757f7b9974 | 1:946179ef029c |
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1 #!/usr/bin/env Rscript | |
2 | |
3 # Creates a t-SNE plot of a normalised SingleCellExperiment object. | |
4 | |
5 # Load optparse we need to check inputs | |
6 | |
7 library(optparse) | |
8 library(workflowscriptscommon) | |
9 library(LoomExperiment) | |
10 library(scater) | |
11 library(Rtsne) | |
12 | |
13 # parse options | |
14 | |
15 option_list = list( | |
16 make_option( | |
17 c("-i", "--input-loom"), | |
18 action = "store", | |
19 default = NA, | |
20 type = 'character', | |
21 help = "A SingleCellExperiment object file in Loom format." | |
22 ), | |
23 make_option( | |
24 c("-c", "--colour-by"), | |
25 action = "store", | |
26 default = NULL, | |
27 type = 'character', | |
28 help = "Feature (from annotation file) to colour t-SNE plot points by. The values represented in this options should be categorical" | |
29 ), | |
30 make_option( | |
31 c("-s", "--size-by"), | |
32 action = "store", | |
33 default = NULL, | |
34 type = 'character', | |
35 help = "Feature (from annotation file) to size t-SNE plot points by. The values represented in this options should be numerical and not categorical" | |
36 ), | |
37 make_option( | |
38 c("-p", "--shape-by"), | |
39 action = "store", | |
40 default = NULL, | |
41 type = 'character', | |
42 help = "Feature (from annotation file) to shape t-SNE plot points by. The values represented in this options should be categorical" | |
43 ), | |
44 make_option( | |
45 c("-o", "--output-plot-file"), | |
46 action = "store", | |
47 default = NA, | |
48 type = 'character', | |
49 help = "Path of the PDF output file to save plot to." | |
50 ) | |
51 ) | |
52 | |
53 opt <- wsc_parse_args(option_list, mandatory = c('input_loom', 'output_plot_file')) | |
54 # Check parameter values | |
55 | |
56 if ( ! file.exists(opt$input_loom)){ | |
57 stop((paste('File', opt$input_loom, 'does not exist'))) | |
58 } | |
59 | |
60 | |
61 # Input from Loom format | |
62 | |
63 scle <- import(opt$input_loom, format='loom', type='SingleCellLoomExperiment') | |
64 scle <- normalize(scle, exprs_values = 1) | |
65 scle <- runTSNE(scle, perplexity=10) | |
66 plot <- plotTSNE(scle, colour_by = opt$colour_by, size_by = opt$size_by, shape_by = opt$shape_by) | |
67 | |
68 | |
69 ggsave(opt$output_plot_file, plot, device="pdf") |