Webread.affy: Read a Set of .CEL Files and Phenotypic Data Description Reads the specified file, which defines phenotypic data for a set of .CEL files. Reads the specified files into an AffyBatch object and then creates a phenoData object, defining the experimental factors for those chips. Usage read.affy (covdesc = "covdesc",path=".", ...) WebReadAffy is a wrapper for read.affybatch that permits the user to read in phenoData, MIAME information, and CEL files using widgets. One can also define files where to read …
read.affy function R Documentation
WebRead CEL files into an ExpressionSet. Description. Read CEL files and compute an expression measure without using an AffyBatch. Usage. just.rma(..., filenames = … Webaffy_data = ReadAffy(celfile.path=dir_cels) eset.mas5 = mas5(affy_data) 读取的过程还是蛮耗时间的, 也可以选择rma函数而不是mas5函数对表达数据进行normalization simplify 20/240
read.affybatch : Read CEL files into an AffyBatch
WebRead CEL files into an ExpressionSet Description Read CEL files and compute an expression measure without using an AffyBatch. Usage just.rma(..., filenames = character(0), phenoData = new("AnnotatedDataFrame"), description = NULL, notes = "", compress = getOption("BioC")$affy$compress.cel, WebAh, the issue is the array type, i.e., the U133. The target functionality only works for certain Affymetrix array designs, i.e., those that have a 'Gene' or 'Exon' in the name, and also usually have 'ST', reflecting the different probe design / layout.. So, you have to run rma() without target.. I can provide more information on the differences between these 2 broad classes … Webaffy_data = ReadAffy (celfile.path=dir_cels) eset.mas5 = mas5 (affy_data) 读取的过程还是蛮耗时间的, 也可以选择rma函数而不是mas5函数对表达数据进行normalization 读取之 … raymond rastelli