similar to: Package 'pd.mirna.1.0.2xgain' was not found in the BioConductor repository

Dear Help, After loading the pd.Citrus library and checking the DataFrame, I ran > the R code for: > > 1) 'oligo' > > > > {> library(pd.citrus) > Loading required package: RSQLite > Loading required package: DBI > > data(pmSequence) > > > show(pmSequence) > DataFrame with 341730 rows and 2 columns > fid sequence > <integer>

Dear all, I've noticed by trying to download gz files from here : https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM907811 At the bottom one can download GSM907811.CEL.gz . If I download this manually and try oligo::read.celfiles("GSM907811.CEL.gz") everything works fine. (oligo is a bioConductor package) However, if I download using download.file("

I think that you misunderstood me. As far as I know, RMA does three things: background correction, quantile normalization, and summary from probes to probesets. I want the probe values after background correction and quantile normalization but before the summary. On Sat, Dec 26, 2009 at 12:07 PM, Benilton Carvalho <bcarvalh at jhsph.edu> wrote: > pm(data) > > b > > On Dec

Hi, I am a Ph.D. student from Québec, Canada. I’m a beginner with R and Bioconductor. Until now the only experience I have is in analyzing microarray data using affy and limma packages. Now I am trying to analyze Rat Gene 10 st arrays and I would like to run RMA analysis and Smyth moderated t test on those arrays. Since no cdf official package is available for those arrays, after reading many

Dear R-users, I'm using lattice package and function xyplot for the first time so you will excuse me for my inexperience. I'm facing quite a simple problem but I'm having troubles on how to solve it, I've read tons of old mails in the archives and looked at some slides from?Deepayan Sarkar but still can not get the point. This is the context. I've got data on 9 microRNAs, each

Hi everyone, I am trying to find a way to filter a table; If I am given for example the following table: > head(intra) chr miRNA start end strand ACC hsa_ID region region_start region_end gene_id transcrip_id 1 chr1 miRNA 1102484 1102578 + ACC="MI0000342"; ID="hsa-mir-200b"; exon 1102484 1102578 NR_029639 NR_029639 2 chr1

On Wed, 21 Oct 2020 16:15:22 -0500 Ana Marija <sokovic.anamarija at gmail.com> wrote: > Hello, > > I have a data frame with one column: > > > remove > > V1 > > 1 ABAFT_g_4RWG569_BI_SNP_A10_35096 > 2 ABAFT_g_4RWG569_BI_SNP_B12_35130 > 3 ABAFT_g_4RWG569_BI_SNP_E09_35088 > 4 ABAFT_g_4RWG569_BI_SNP_E12_35136 > 5

Hello, To remove the file extension it's much easier to use base R filename <- tools::file_path_sans_ext(basename(celFiles)) Hope this helps, Rui Barradas ?s 22:41 de 21/10/20, Rui Barradas escreveu: > Hello, > > This is probably because basename keeps the file extension, try instead > > > filename <- sub("(^[^\\.]*)\\..+$", "\\1",

Hello, This is probably because basename keeps the file extension, try instead filename <- sub("(^[^\\.]*)\\..+$", "\\1", basename(celFiles)) celFiles[!filename %in% as.character(remove$V1)] Hope this helps, Rui Barradas ?s 22:15 de 21/10/20, Ana Marija escreveu: > Hello, > > I have a data frame with one column: > >> remove > >

Hello, I have a data frame with one column: > remove V1 1 ABAFT_g_4RWG569_BI_SNP_A10_35096 2 ABAFT_g_4RWG569_BI_SNP_B12_35130 3 ABAFT_g_4RWG569_BI_SNP_E09_35088 4 ABAFT_g_4RWG569_BI_SNP_E12_35136 5 ABAFT_g_4RWG569_BI_SNP_F11_35122 6 ABAFT_g_4RWG569_BI_SNP_F12_35138 7 ABAFT_g_4RWG569_BI_SNP_G07_35060 8 ABAFT_g_4RWG569_BI_SNP_G12_35140 I want to remove these 8

Hi there, I wonder if there is a way of efficiently generating a correlation matrix of two expression matrices. I want to correlate miRNA and mRNA expression and used the following code: ##dat.mi miRNA expression matrix, dat.m mRNA expression matrix nc <- nrow(dat.mi) cor.mat <- data.frame(rep(NA,nrow(dat.m))) pval.mat <- data.frame(rep(NA,nrow(dat.m))) for(i in 1:nc) { cr <- vector()

On 05/02/2018 03:21 PM, Joris Meys wrote: > Dear all, > > I've noticed by trying to download gz files from here : > https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSM907811 > > At the bottom one can download GSM907811.CEL.gz . If I download this > manually and try > > oligo::read.celfiles("GSM907811.CEL.gz") > > everything works fine. (oligo

I wonder whether R provides an interface to access miRecords data. Particularly, I am looking for extracting humans miRNA and target genes sequences. All such information is stored in there in a set of structured web site pages (http://mirecords.umn.edu/miRecords) I would greatly appreciate any suggestion even about other data bases from where it is possible to get the same sort of data. I had a

Use mode="wb" when you download the file. See https://github.com/HenrikBengtsson/Wishlist-for-R/issues/30. R core, and others, is there a good argument for why we are not making this the default download mode? It seems like a such a simple fix to such a common "mistake". Henrik On Thu, May 3, 2018, 00:44 Joris Meys <jorismeys at gmail.com> wrote: > Dear all, >

Dear maintainer, I used bioconductor package, pdInfoBuilder, to make a microarray platform annotation package. I named this package, pd.pdinfo.gpl11164.ndf.txt. This "self-made package" is to be used with oligo package. Prior to using oligo package, I need to install the annotation package, pd.pdinfo.gpl11164.ndf.txt, and cannot just copy it to the library tree. I tried using the

Using the correct mode absolutely solves it. Apologies for not trying the obvious. Cheers Joris On Thu, May 3, 2018 at 2:10 PM, Martin Morgan <martin.morgan at roswellpark.org > wrote: > > > On 05/02/2018 03:21 PM, Joris Meys wrote: > >> Dear all, >> >> I've noticed by trying to download gz files from here : >>

Unluckily I dela with miRNA files whose name may contain the character "*". Because of the special meaning of "*" I have to remove it. I found out how to make list.files() extract only those file names which contain a "*" Namely: # list.files(pattern="\\*") Now I have to process all files whose name does NOT contain the character "*". I cannot

Dear all, I've been diving a bit deeper into this per request of Tomas Kalibra, and found the following : - the lock on the file is only after trying to read it using oligo, so that's not a R problem in itself. The problem is independent of extrenal packages. - using Windows' fc utility and cygwin's cmp utility I found out that every so often the download.file() function inserts

Hi, I have a question about filterMicroRna in AgiMicroRna package function for filtering probes in Agilent microRNA dataset. >ddPROC = filterMicroRna(ddNORM.micro, dd, control = TRUE, IsGeneDetected = TRUE, wellaboveNEG = FALSE, limIsGeneDetected = 75, limNEG = 25, makePLOT = TRUE, target.micro, verbose = TRUE) If in a dataset there are two or more sample replicates and in the step of

Hi all, I'm having some trouble in understanding how to ste the Error() term in the aov() function when fitting a hierarchical ANOVA. I have data concerning the expression of 2 miRNAs in 3 different cell lines, with 2 different extraction methods. The data is organized as follows : Line Extraction Target Expression 1 BC54 miRNA RNU48 22.48 2 BC54 miRNA