search for: cancerous

Dear R-help list, Apologies. I am trying to convert one table to another. It feels that it should be a very straightforward answer with a single (or two) commands with the right extensions, but I really can't figure this out right now. I have several hundred pheno factors actually, so manually doing this line by line is not an option. My original table is approximately like this : ID

Head of Department of Applied Statistics and Epidemiology - Institute of Cancer Epidemiology, Copenhagen, Denmark The Institute Population-based cancer research in the Nordic countries is in the international forefront. Since the foundation of the Danish Cancer Registry in 1942 the Institute of Cancer Epidemiology has played a significant role in this research area. The Institute is looking

Hi all, I have some questions about the predicted HR in coxph function including psline covariate. If just fitting covariate as linear form, by default, the reference value for each of predictions type (linear predictor, risk and terms) is the mean covariate within strata. If the psline is specified for the covariate, what's the reference value for the predictions? I did some test code

I want to do a logistic regression without an intercept term. This option is absent from glm, though present in some of the inner functions glm uses. I gather glm is the standard way to do logistic regression in R. Hoping it would be passed in, I said > r <- glm(brain.cancer~epilepsy+other.cancer, c3, > family=binomial(link="logit"), intercept=FALSE) which produced

Dear all, we have an exciting PhD position applying HPC to the analysis of large scale cancer datasets. The post will suit an applicant from a strong computational background who wishes to apply their knowledge to help develop a better understanding of the processes that control how tumours develop. Details below:- High Performance Computing applied to cancer research: Computational analysis of

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  Hello to everyone, I am new to programming in R and am having trouble with the following two commands 1.I am running a simple 1 line script "read.table(file="C:\\Document and Settings\\All Users\\Desktop\\colon cancer.txt) and the error message I get is "Error in file (file, "r"): cannot open the connection In addition warning message In file (file, "r"):

Systems Analyst /Programmer III/IV (AD-22564) About Us Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the

Dear UseRs, Suppose I have data regarding smoking habits of a prospective cohort and wish to determine the risk ratio of colorectal cancer in the smokers compared to the non-smokers. What do I do at the end of the study with people who die of heart disease? Can I just censor them exactly the same as people who become uncontactable or who die in a plane crash? If not, why not? I'm thinking

dear all, I am a student in cs college. I would like to know how to plot infinte number of genes after using the svm. the data set i have consists of x which is a matrix of 39 cancer patients [rows] and 2000 gene names [colmns]. each cell is the value of the gene for a particular patient. there are two types of cancer people representedas factor y. here is the code: library(e1071) #load

Hi! I would like to select probes (affy expression set) of genes that are "cancer-related". Conventionally the decision whether a gene is cancer-related or not is made by looking up the literature. Since this is not possible for all genes on the array I wonder if there is a way of doing this automatically? Best wishes Kristian -- _____ Dr Kristian Unger Imperial College London

Hi all, May i know does R has packages or code to run "Bayesian Relative Survival Analysis"? I have look through Bayesian Survival Analysis(2001) by Joseph George Ibrahim<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Joseph+George+Ibrahim%22>, Ming-Hui Chen<http://www.google.com/search?tbo=p&tbm=bks&q=inauthor:%22Ming-Hui+Chen%22>, Debajyoti

The Gottardo lab at the Fred Hutchinson Cancer Research Center in Seattle has an opening for a programmer. To apply: https://erecruit.fhcrc.org/psp/RECRUIT/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_CE.GBL?Page=HRS_CE_JOB_DTL&Action=A&JobOpeningId=24122&SiteId=2&PostingSeq=1 The position description is below: About Us Fred Hutchinson Cancer Research Center, home of three Nobel laureates,

Hi, can anyone help me fit betabinomial model to the following dataset where each iD is a cluster in itself , if i use package aod 's betabinom model it gives an estimate of zero to phi(the correlation coeficient ) and if i fix it to the anova type estimate obtained from icc( in package aod) then it says system is exactly singular. And when i try to fit my loglikelihood by

I had the latest wine running under winblows 98 SE for a week or two with no problems, then I installed winblows 2000 and now I cannot get wine to work. It is important for me to get it running again since I run United Devices cancer research agent (http://members.ud.com) 24/7 to help them find a cure for cancer. Is wine compatible with Win2k, or will I need to re-install 98 again? -- Interested

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Hi everyone, I connected a data in FileMaker server with odbcConnect. When I call the data "CANCERS" using sqlFetch, it looks okay. However, the number of obs was different with the actual number. If I read the same data from Microsoft Access, there are 656 obs. in it but srt() shows me 600 obs. Does anyone know why this happened and how to read all obs. from R? Thank you in advance.

Dear fellow R-help members, I hope to seek your advice on how to parse/manage a dataset with hundreds of columns. Two examples of these columns, 'cancer.problems', and 'neuro.problems' are depicted below. Essentially, I need to parse this into a useful dataset, and unfortunately, I am not familiar with perl or any such language. data <- data.frame(id=c(1:10))

I am looking for an online (easily accessible) form of the samples of genetic data for those with cancer and those without cancer. Can anyone direct me in the right place? Thanks, Jim [[alternative HTML version deleted]]