similar to: DESeq

HI, I would like to update my DESeq package version on R-2-14 using bioclite() and get this message, could somebody help please? > biocLite("DESeq") BioC_mirror: 'http://www.bioconductor.org' Using R version 2.14, BiocInstaller version 1.2.1. Installing package(s) 'DESeq' Installing package(s) into ?/nfs/team82/nac/R-modules? (as ?lib? is unspecified) trying URL

Dear list, How can I detect a package is installed or not? If not, then install it. For example, in a script, I want to check the package DESeq is installed or not. If not, then I will using this script to install it. source("http://www.bioconductor.org/biocLite.R") biocLite("DESeq") The pseudo script would be like this: try: library("DESeq") catch:

Dear all, I need to make dendogram from read count in a csv file across 34 samples including biological replicate. Please share R code or package to do this. Do I also need to normalized read count before using read data? Thanks [[alternative HTML version deleted]]

Hi, directory<- "/home/arunksa111/data.new" #first function filelist<-function(directory,number,list1){ setwd(directory) filelist1<-dir(directory) direct<-dir(directory,pattern = paste("MSMS_",number,"PepInfo.txt",sep=""), full.names = FALSE, recursive = TRUE) list1<-lapply(direct, function(x) read.table(x,header=TRUE, sep =

Hi, I am really new to edge R and I have used it to calculate gene expression with RNASeq data comparing 2 different conditions. I used a P value of 0.05 and I got a list of DGE contigs up and down regulated. WhatI was wondering is how to convert the logFC value that appear in the output of the exact test. Is it a log2 base? Is fold 2 change considered as cutoff? I am trying to find this info on

There are two line 216 and 218 Three development stages 5 WEEK (5W), 7W, 9W. Three tissue: Ca, Co, Pa each with 2 biological replicate. With two biological replicate. I want to do differential gene expression analysis using DESeq2 so I tried these codes after reading about DESeq2: ,my aim is to do the pairwise comparison. how to make colData and design formula. library("DESeq2")

Hello R-help group, I have a question about merging lists. I have two lists: Genes list (hSgenes) name chr strand start end transStart transEnd symbol description feature ENSG00000223972 1 1 11874 14412 11874 14412 DEAD/H box polypeptide 11 like 1DEAD/H box polypeptide 11 like 3DEAD/H box polypeptide 11 like 9 ;;

Hello; Does anybody knows that R have a function for Generelized Negative Binomial model, something like "gnbreg" in "STATA" where dispersion parameter itself is a function of covaraites ? Thanks; [[alternative HTML version deleted]]

Hello, Sorry if this question has been posted before but could't find out exactly an answer to the question.... I'm doing bioinformatics and doing small RNA sequencing that make use of packages such as DESeq and EDGE. For those familiar with this data you will notice that you end up having large matrices with millions of entries. So i guess many people might be facing the same problem

Hello R users, Doing My PhD I collected count data which I believe is zero inflated. I have run a statistical model with lmer and family=poisson and got summary(model)@sigma=1 so I believe there is no overdispertion. I would like to use the fmr function from the 'gnlm' library but I just cannot figure out from the examples in the help page and some forums out there how to convert the lmer

Hello all, I was just wondering if anybody knew whether mechanize is supposed to be thread-safe or not? I didn''t really find any information about it anywhere. I''ve been getting a strange error in protocol.rb when I run a script that uses mechanize in a multi threaded fashion, but not with a single thread. I''m trying to write a spider that does multiple gets in

CRAN (and crantastic) updates this week New packages ------------ * disclapmix (0.1) Maintainer: Mikkel Meyer Andersen Author(s): Mikkel Meyer Andersen and Poul Svante Eriksen License: GPL-2 http://crantastic.org/packages/disclapmix disclapmix makes inference in a mixture of Discrete Laplace distributions using the EM algorithm. * EstSimPDMP (1.1) Maintainer: Unknown Author(s):