similar to: Online course: DNA Microarray Data Analysis starts Jan. 28

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Sheraton Hotel Palo Alto, CA Feb 26-27, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we rely increasingly more on data

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Georgetown University Conference Center Washington DC September 20-21, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Sheraton Hotel, Palo Alto, California February 24 & 25, 2005 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we rely

Hello! Just want to get some suggestions on which R package is good for analyzing time course microarray data. Thank you so much for your input! Sincerely, Allen [[alternative HTML version deleted]]

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

I have just placed version 0.2 alpha of my library, dna, on my web page at www.luc.ac.be/~jlindsey/rcode.html The R functions in this library cover most of the basic methods of dna and protein sequence analysis. The library includes ports of CLUSTAL W for multiple sequence alignment and flip for finding open reading frames in a dna sequence. There are an enormous number of interesting and

Analysis of Microarray Data Using S-PLUS, R and S+ArrayAnalyzer 23rd March 2006 Presenter: Adam Diaz Venue: Insightful UK, Network House, Basing View, Basingstoke, Hants RG21 4HG This is the last chance to register for this unique course being run by a member of Insightful's microarray development team from the US. Extract Microarray technology is complex, and experiments using

Hi, I am making some DNA distances and I would like to use dist.dna as matrix in R, but this command does not include models like GTR... Is there some command or alternative using dist.dna in ape package for models not included like GTR? I would appreciate any help given Thank you very much, Ignacio Quintero Laboratorio de biología evolutiva de vertebrados (Evolvert) Departamento de Ciencias

Online short course: Modeling in R Dr. Phillip Good will offer the short course "Modeling in R" online at statistics.com April 8-29, 2005. This 3-week course will show you how to use R to create models for use in classification and prediction. You will be introduced to advanced graphing methods as needed. Modeling techniques include OLS, LAD, and EIV regression, quantile

Drs. Brian Everitt and Torsten Hothorn will present their online course "Modeling in R" at statistics.com Jan. 19 - Feb. 16. Participants can ask questions and exchange comments with Drs. Everitt and Hothorn via a private discussion board throughout the period. In this course you learn how to use R to build statistical models and use them to analyze data. Multiple regression is

Hi, I want to analyse DNA sequence data (mtDNA) in R as in calculate Fst, Heterozygosity and such summary statistics. Package Adagenet converts the DNA sequence into retaining only retaining the polymorphic sites and then calcuates Fst.. but is there any other way to do this? I mean analyse the DNA sequence as it is.. and calculate the statistics? Thanks! [[alternative HTML version deleted]]

I suspect you meant WD <- "~/Documents/Scripting/R_Studio/Sequences/" but I am entirely unfamiliar with the packages you are using, and know nothing about what is on your hard drive. For future reference: A) Read the Posting Guide. This is a plain text email list, and your html formatting gets removed leaving a mess that is not always readable. B) Most frequent users of R

There are some tools for handling genetic data in the 'genetics' package on CRAN. These were motiviated by the need to process population genetic data. -G > -----Original Message----- > From: Daniel Edmund Davison [mailto:davison at midway.uchicago.edu] > Sent: Monday, May 05, 2003 1:58 PM > To: r-help at stat.math.ethz.ch > Subject: [R] DNA > > > > Hi, is

Hi: I have clustered microarray gene expression data and trying to map between microarray probe, gene, pathway, gene ontology, and homology for a set of (affy) microarray probes. Is there any package in R which facilitates this? I am looking at bioconductor, but till now could not find a solution. A link to some worked example would be appreciated. Thanks and regards. John [[alternative HTML

Hi all, I am learning R by "doing". And this is my first post. I want to use R: 1- to fetch a DNA sequence from a databank (see bellow) and 2- store it as FASTA file. The problem: neither an error is prompted nor the fasta file is created. Testing the code (see bellow), I notice that everything works until the *"write.dna" *command - which is not creating the fasta file.

Hey So sorry to be a total newbie, but i'm just finding my feet with R. I heard on the grapevine i could recreate a scanned microarray image, or at least get a good graphic of it from a just a data file. I have .txt files for illumina beadarrays but no images cos the service we used didn't send them. The 'beadarray' package seems to require TIFFs to get the graphic output. Does

Hi, For the last few days I have tried utilise your package "pegas" in order to obtain some values for indices like the nuclear diversity and tajimas d value. I have modified my dataset (a text file containing dna sequences) in order to be able to read it in with the tools provided by pegas. Here, I have oriented myself on the description provided by the help-page in read.loci().

Dear Listers: Currently I am doing a research using a microarray data. I have two questions and hope I can get some help from here: 1. I have a dataset like the following, in which V1 is geneid, v3...are the fold changes of expression levels for different patients. There are multiple probes for one gene, so there are multiple rows. You can see from column V11 and V13, the fold changes are very

Hi all, I am interested in calculating and displaying the distributions of pairwise comparisons between DNA sequences in populations. The comparisons are the number of nucleotide sites that differ between the two sequences (mismatches). My sequences are stored in a vector of strings. There is an additional vector of the same length that provides the indices to the DNA sequences. Finally, I

Hi I am Aadhithya I am trying to write a code to classify microarray data (AML and ALL) using SVM in R my code goes like this : library(e1071) train<-read.table("Z:/Documents/train.txt",header=T); test<-read.table("Z:/Documents/test.txt",header=T); cl <- c(c(rep("ALL",10), rep("AML",10))); model<- svm(train,cl); pred <-