User: salamandra
salamandra • 240
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Posts by salamandra
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... From GeneAnnot site we can see that different probe sets that target same gene have variable numbers of same probes.
For example for gene MAPK1 there is:
[1552264_a_at probe set][1] has probes 1 to 11, while [224621_at probe set][2] has probes 1 to 3 and 8 to 11. For same probe set, different combin ...
written 1 day ago by
salamandra • 240
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... If they are different isoforms, doing an average of two might not be appropriate cause one might no be expressed and that brings gene expression down.. ...
written 2 days ago by
salamandra • 240
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... I saw in another post that one probe-set targets one exon. So, does it mean that two probe-sets may be targeting two different exons of same gene, and that's why we get even after summarizing a U133 array different probe set ids corresponding to same ensembl gene id?
Or is there only one gene per pr ...
written 2 days ago by
salamandra • 240
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... even after translating probe IDs to ensembl/entrez gene ids..thank you ...
written 13 days ago by
salamandra • 240
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... could you then provide that info please? so in this case, by doing rma() automatically summarizes by transcript instead of gene is that it? ...
written 13 days ago by
salamandra • 240
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... I tried both:
array is Affymetrix Human Genome U133 Plus 2.0 Array from this study: [GSE28799][1]
Code is:
library(oligo)
library(GEOquery)
platform = 'HG-U133_Plus_2' # specific affymetrix microarray platform
dataDir <- 'D:/Tania_2/PhD/CSCs/data/'
studyId <- 'study10'
...
written 13 days ago by
salamandra • 240
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... I am trying to summarize on gene level with `target=core`, but get this error: `Error in .local(object, ...) : unused argument (target = "core")`, even when specifying `oligo::rma(` Do you know why is this happens? ...
written 14 days ago by
salamandra • 240
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... this gets you already normalized data. how do you get raw data from txt file? ...
written 27 days ago by
salamandra • 240
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... I can read bgx, but not the txt file. Do you mean the txt file is not a idat file is that it?
I tried the link you suggested. Specifically tried:
library(GEOquery)
eset = getGEO('GSE26677')[[1]]
but when doing:
exprs(eset)
gets the data already quantile normalized (I know that cause ...
written 27 days ago by
salamandra • 240
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... Hi, I tried to read an idat file with R package illuminaio:
library(illuminaio)
idatfile <- 'C:/Users/Tania/Documents/GSE26677/GSE26677_non-normalized.txt'
idat <- readIDAT(idatfile, what='all')
and also with limma package:
library(limma)
bigxfile <- 'C:/Users/Tania/D ...
written 28 days ago by
salamandra • 240
• updated
28 days ago by
h.mon ♦ 28k
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