34
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1 require("minfi", quietly = TRUE)
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2
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3 args <- commandArgs(trailingOnly = TRUE)
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4 GSE = args[1]
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5 output = args[2]
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6
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35
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7 function (GSE = NULL, path = NULL, array = "IlluminaHumanMethylation450k",
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8 annotation = .default.450k.annotation, what = c("Beta", "M"),
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9 mergeManifest = FALSE, i = 1)
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10 {
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11 what <- match.arg(what)
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12 if (is.null(GSE) && is.null(path))
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13 stop("Either GSE or path must be supplied.")
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14 if (!is.null(GSE))
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15 gset <- GEOquery::getGEO(GSE)
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16 else gset <- GEOquery::getGEO(filename = file.path(path,
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17 list.files(path, pattern = ".soft")))
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18 if (length(gset) == 0)
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19 stop("Empty list retrieved from GEO.")
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20 if (length(gset) > 1) {
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21 warning("More than one ExpressionSet found:\n", names(gset),
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22 "\nUsing entry ", i)
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23 gset <- gset[[i]]
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24 }
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25 else gset <- gset[[1]]
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26 platform <- annotation(gset)
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27 if (platform != "GPL13534")
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28 warning(sprintf("%s is not the platform ID associated with IlluminaHumanMethylation450k. Should be GPL13534.",
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29 platform))
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30 if (what == "Beta" & (min(exprs(gset)[, 1], na.rm = TRUE) <
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31 0 | max(exprs(gset)[, 1], na.rm = TRUE) > 1))
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32 warning("Values outside [0,1] detected. 'what' argument should not be Beta.")
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33 ann <- .getAnnotationString(c(array = array, annotation = annotation))
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34 if (!require(ann, character.only = TRUE))
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35 stop(sprintf("cannot load annotation package %s", ann))
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36 object <- get(ann)
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37 gr <- getLocations(object, mergeManifest = mergeManifest,
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38 orderByLocation = TRUE)
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39 locusNames <- names(gr)
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40 sampleNames(gset) <- gset$title
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41 common <- intersect(locusNames, fData(gset)$Name)
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42 if (length(common) == 0)
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43 stop("No rowname matches. 'rownames' need to match IlluminaHumanMethylation450k probe names.")
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44 ind1 <- match(common, fData(gset)$Name)
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45 ind2 <- match(common, locusNames)
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46 preprocessing <- c(rg.norm = paste0("See GEO ", GSE, " for details"))
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47 if (what == "Beta") {
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48 out <- GenomicRatioSet(gr = gr[ind2, ], Beta = exprs(gset)[ind1,
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49 , drop = FALSE], M = NULL, CN = NULL, pData = pData(gset),
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50 annotation = c(array = array, annotation = annotation),
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51 preprocessMethod = preprocessing)
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52 }
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53 else {
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54 out <- GenomicRatioSet(gr = gr[ind2, ], Beta = NULL,
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55 M = exprs(gset)[ind1, , drop = FALSE], CN = NULL,
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56 pData = pData(gset), annotation = c(array = array,
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57 annotation = annotation), preprocessMethod = preprocessing)
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58 }
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59 save(out,output)
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60 }
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