similar to: Pelora problem

Prof. Javier Cabrera will be giving the online course "DNA Microarray Data Analysis" from Jan. 28 - Feb. 25 at statistics.com. Dr. Cabrera is co-author of "Exploration and Analysis of DNA Microarray and Protein Array Data" (the course text; Wiley) and has published a number of articles on gene expression data analysis, data mining and multivariate methods in leading

Hi all, Here's an interesting (for me, at least!) problem I came across: I have a correlation matrix, let's say with 6 variables, A to F, as column headings and the same 6 as row headings. The matrix is filled with correlation coefficients. Therefore, the diagonal is all 1's, and each of the two triangles formed by the diagonal has the same 15 correlation coefficients. I need to

Hi, I am new to R...a recent convert from SAS. I have a dataset that looks like this: SEQ A1 A2 A 532.5 554.5 B 25.5 35.5 C 265.2 522.2 D 245.55 521.56 E 546.52 141.52 F 243.25 32.56 G 452.55 635.56 H 15.14 16.54 I 543.4 646.56 J 54.4 654.5 K 646.5 64.54 L 645.4 614.46 M 646.54 634.46 I want to make a histogram

Hi all, I downloaded a R package (supclust, not from CRAN) in my directory, then type: markov:/home/pingzhao> R CMD INSTALL supclust_1.1.tar.gz -l ~/lib but met the following errors * Installing *source* package 'supclust' ... ** libs /usr/local/lib/R/bin/SHLIB: make: not found ERROR: compilation failed for package 'supclust' Does it mean the R has not properly installed?

Take advantage of a 20% discount on the most recent R books from Chapman & Hall/CRC! We are pleased to offer our latest R books at a 20% discount through our website. To take advantage of this offer, simply visit www.crcpress.com, choose your titles and insert code AZL02 in the 'Promotion Code' field at checkout. Standard Shipping is always FREE on all orders from CRCPress.com!

Hi there, How to solve the conflicts as to the same object between two packages, for example, like margins in both randomForest and supclust? When both libraries are installed, supclust will complain "margins" defined in randomForest. I can only solve it by re-starting R, which is very inconvenient, any clever way? Thanks, Weiwei -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc.

Apologies for cross posting.... Early-Bird Registration Discount Deadline Just a quick reminder. If you are interested in attending CART Data Mining 2004 (San Francisco), the EARLY-BIRD discounted registration deadline is January 30th, 2004. Registration materials are available at: http://www.cartdatamining.com/RegCART04.pdf Other deadlines: Paper Submission: January 12th Student Contest:

>Date: Thu, 6 Mar 2008 06:46:07 -0800 (PST) >From: Keizer_71 <christophe.lo@gmail.com> >Subject: [R] Statistical Questions: finding differentially expressed >genes >To: r-help@r-project.org >Message-ID: <15873163.post@talk.nabble.com> >Content-Type: text/plain; charset=us-ascii >Hi Everyone, >I am trying to find a way to do this in excel to tell me which

Hi All Not sure if this a bioconductor question or general R mailing list so apologies if this has gone to the wrong one................. When plotting dendrograms created by hclust you can "identify" clusters by clicking on the graphics and returning a list of what is contained in each cluster. However I'd like to be able to "zoom in" on specific clusters and plot

Dear R users, I am sorry to disturb you! But I really need your help for the usage of sigPathwy. Actually, I want a sliding window analysis for possible chromosome expression pattern mining. My research microorganism is a plant pathogen, Gibberella zeae, and I first used SAS to divide locus number with 10, 20, 30, or 40 on the fungal chromosome according to their location. I really

Hallo, I just installed all needed packages for my project on my PC. But I cannot load all at one time. I now want to load limma. How can I realize the following plan: I want to install for example limma inclusive all needed other sub packages (add-on). Can anyone tell me the corresponding command? Thanks, Corinna Here is the result of the command library(): Pakete in Library

Hi Everyone, I am trying to find a way to do this in excel to tell me which genes are the most differentially expressed. Sorry, i couldn't find excel forum section in nabble. However, if it is in R it is fine. This is a microarray data, and it has been normalized. According to Dov Stekel in Microarray, i will need to calculate log ratio (control-treatment). Once you have the log ratio,

Hi, I am using dlda algorithm from supclust package and I am wondering if the output can be a continuous probability instead of discrete class label (zero or one) since it puts some restriction on convariance matrix, compared with lda, while the latter can. thanks, -- Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. "Did you always know?" "No, I did not. But I believed..."

I can't understand that people still send things like this to R-core... ------- start of forwarded message ------- From: Tineke Casneuf <ticas at psb.ugent.be> Sender: r-core-bounces at stat.math.ethz.ch To: R-core at r-project.org Subject: help(Memory) Date: Wed, 04 Feb 2004 13:39:32 +0100 Dear, I am trying to find a appropriate package to analyse gene expression data from DNA

Dear all, i have microarray data of 3 classes of patients. It's not a time course experiment only steady state. I used a rule-based method to classify the groups by the expression of the genes. This works out so far. Nevertheless I want to check my results with an other method. Therefore I look for one and want to ask you, what you suggest. I have 3 different patient groups, only the steady

Thanks a lot, Michael! I cc to R-help, where this question really belongs {as the 'Subject' suggests itself...} -- please drop 'bioconductor' from CC'ing further replies. >>>>> "michael" == michael watson (IAH-C) <michael.watson at bbsrc.ac.uk> >>>>> on Thu, 17 Jun 2004 09:16:59 +0100 writes: michael> OK, admittedly it

How can I subscribe to R genomic list? On Sun, 2 Apr 2023, 9:28 pm Peter Langfelder, <peter.langfelder at gmail.com> wrote: > It's a microarray data set, so I don't think you would want to apply > an RNA-seq pipeline. You'd be better off applying a normalization > appropriate for this type of microarray data. > > HTH, > > Peter > > On Sun, Apr 2, 2023

It's a microarray data set, so I don't think you would want to apply an RNA-seq pipeline. You'd be better off applying a normalization appropriate for this type of microarray data. HTH, Peter On Sun, Apr 2, 2023 at 11:09?PM Anas Jamshed <anasjamshed1994 at gmail.com> wrote: > > I want to get the count matrix of genes from >

For any given pre-specified gene or short list of genes, yes the Cox model works fine. Two important caveats: 1. Remeber the rule of thumb for a Cox model of 20 events per variable (not n=20). Many microarray studies will have very marginal sample size. 2. If you are looking at many genes then a completely different strategy is required. There is a large and growing literature; I like Newton

Hello R-community, It's been a week now that I am struggling with the implementation of a cox model in R. I have 80 cancer patients, so 80 time measurements and 80 relapse or no measurements (respective to censor, 1 if relapsed over the examined period, 0 if not). My microarray data contain around 18000 genes. So I have the expressions of 18000 genes in each of the 80 tumors (matrix