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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide com
microarray data.
>
> HTH,
>
> Peter
>
> On Sun, Apr 2, 2023 at 11:09 PM Anas Jamshed
> wrote:
> >
> > I want to get the count matrix of genes from
> > https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146049. Is it
> > possible fo
I want to get the count matrix of genes from
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146049. Is it
possible for GSE146049? After getting counts, I want to do TMM
normalization.
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I have .xlsx files with gene names in first column.How can read and load in
R?
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PLEASE do read
I mean how can I apply RMA to my datasets?
On Mon, Aug 15, 2022 at 9:50 PM Bert Gunter wrote:
> I have no idea what you mean. Please do *not* respond to me privately.
>
> On Mon, Aug 15, 2022 at 9:48 AM Anas Jamshed
> wrote:
> >
> > but how can I apply for RMA?
> &g
I performed GEO2R analysis on a series dataset and I'm looking to find the
up-regulated and down-regulated genes. I know that to find up-regulated and
down-regulated genes, I should check logFC (Fold-change in log2 scale
(generally)).Consider the value of 1 in log2 is 0. There is optimal cutoff
but
I have a list of 422 genes in excel file .I want to know if its possible to
get snps details of these gene by using Ensemble Rest API or biomart?
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where should I place cat(row,col,mat_1[row,col],"\n")?
On Thu, Oct 28, 2021 at 1:58 PM Jim Lemon wrote:
> Hi Anas,
> How about:
>
> cat(row,col,mat_1[row,col],"\n")
>
> Jim
>
> On Thu, Oct 28, 2021 at 7:19 PM Anas Jamshed
> wrote:
> >
>
I create a matrix of size 3x3 called mat_1 and then I want to iterate over
all the values one by one and print the element as well as the position in
the matrix:
My code is :
mat_1= matrix( c('1','2','3','4','5','6','7','8','9'), nrow = 3, ncol =
3,byrow = TRUE)
mat_1
# Loop over my_matrix
for(ro
(f == 1) {
print(paste("Number is prime :", n))
}
}
On Wed, Oct 27, 2021 at 1:35 AM Rolf Turner wrote:
>
> On Wed, 27 Oct 2021 01:09:50 +0500
> Anas Jamshed wrote:
>
> > I need help to these questions
> >
> > ### Question 1
> > C
I need help to these questions
### Question 1
Create a variable containing a sequence of numbers from 1 to 100:
Iterate over the variables and print those numbers which are prime.
### Question 2
Create a matrix of size 3x3 called mat_1:
Iterate over all the values one by one and print the ele
I have done this analysis:
#You can select Working Directory according to your choice
setwd("D:")
#Check Working Directory
getwd()
#Creation of object(folder) exdir
exdir <- path.expand("~/GSE162562_RAW")
dir.create(exdir, showWarnings = FALSE)
URL <- "
https://ftp.ncbi.nlm.nih.gov/geo/series/G
ist.files(exdir, full.names = TRUE)
> names(files) <- sub("\\.txt\\.gz$", "", basename(files))
>
>
> # R can open compressed files without decompressing beforehand
> print(utils::read.table(files[[1]], sep = "\t"))
> print(utils::read.delim(fil
gt; utils::download.file(URL, FILE, mode = "wb")
> utils::untar(FILE, exdir = dirname(FILE))
>
>
> worked perfectly for me. It seems to also work still on Ubuntu, but you
> can let us know if you find it doesn't. I hope this helps!
>
>
>
> On Mon, Aug 23,
)
> utils::untar(FILE, exdir = dirname(FILE))
>
>
> and it makes a folder "Image-ExifTool-12.30". It seems to work perfectly
> fine in Windows 10 x64 build 19042. Can you send the specific file (or
> provide a URL to the specific file) that isn't working for you?
>
&g
I have the file GSE162562_RAW. First I untar them
by untar("GSE162562_RAW.tar")
then I am running like:
system("gunzip ~/Desktop/GSE162562_RAW/*.gz")
This is running fine in Linux but not in windows. What changes I
should make to run this command in windows as well
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is available. You will still have to learn a little about
> edgeR analysis, so reading the vignette will be very helpful.
>
> Also, for the comparisons you want to do, statistical help is
> recommended.
>
> Matthew
>
> On 8/22/21 2:13 PM, Anas
I have downloaded data from:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162562&fbclid=IwAR0iZQhttG8HzGhFIIMWbFgNszQrVDgiyVChYzQ_ypCx_d-1pn_tm7STjGs
and now I want to compare:
healthy vs Mild healthy vs Highly exposed seronegative (ishgl) Healthy vs
Asymptomatic covid19 patient healthy
I have this data:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162562&fbclid=IwAR0iZQhttG8HzGhFIIMWbFgNszQrVDgiyVChYzQ_ypCx_d-1pn_tm7STjGs
and I want to compare:
healthy vs Mild healthy vs Highly exposed seronegative (ishgl) Healthy vs
Asymptomatic covid19 patient healthy vs Highly expose
when I tried to install oligo package by
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("oligo
It gives me the following eroor:
Warning messages:
1: In file.copy(savedcopy, lib, recursive = TRUE) :
problem copying
C:\Users\USER\
#Loading the required libraries
library(ape)
library(phangorn)
library(seqinr)
#Importing the required file
align_5 <- read.alignment("C:/Users/VAMSI/align 5.fasta", format = "fast")
align_119 <- read.alignment("C:/Users/VAMSI/align 119.fasta", format = "fasta")
Computing the distance matrix for bo
#Loading the required libraries
library(ape)
library(phangorn)
library(seqinr)
#Importing the required file
align_5 <- read.alignment("C:/Users/VAMSI/align 5.fasta", format = "fast")
align_119 <- read.alignment("C:/Users/VAMSI/align 119.fasta", format = "fasta")
Computing the distance matrix for bo
Go to page http://zzz.bwh.harvard.edu/plink/profile.shtml and follow the
help to generate a basic allele score using your independently associated
SNPs. Use R to make the myprofile.rawfile required.
I am unable to generate .raw file which will contain allele score
I have tried this script:
resul
Basically I want to redo the methodology of the paper:
https://www.nature.com/articles/s41598-018-23492-2
I choose microarray data GSE75693 of 30 patients with stable kidney
transplantation and 15 with BKVN to identify differentially expressed genes
(DEGs). I performed this in GEO2R and find R scri
I choose microarray data GSE75693 of 30 patients with stable kidney
transplantation and 15 with BKVN to identify differentially expressed genes
(DEGs). I performed this in GEO2R and find R script there and Runs R script
Successfully on R studio as well. The R script is :
# Differential expression
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