Displaying 20 results from an estimated 2617 matches for "cancer".
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2010 May 06
5
Apologies : question on transforming a table
...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 pheno
1 A Breast Cancer
2 A Appendicitis
3 A Microcephaly
4 B Polyps
5 B Autism
6 C Autism
7 D Breast Cancer
8 D Polyps
9 D Appendicitis
10 E Breast Cancer
What I want is this :
ID Breast Cancer Appendicitis Microcephaly Polyps Autism A 1 1 1 B 1
1 C 1 D 1 1...
2010 Jun 07
0
Head of Department of Applied Statistics and Epidemiology - Institute of Cancer Epidemiology, Copenhagen, Denmark
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...
2013 Jan 24
1
predicted HR in coxph with psline
...ce 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 below:
###
par(mfrow = c(1,3))
test = coxph(Surv(time, status) ~ age, cancer)
test2 = coxph(Surv(time, status) ~ pspline(age, df=2), cancer)
test3 = coxph(Surv(time, status) ~ pspline(age, df=5), cancer)
pptest3=predict(test3, type="lp")
pptest2= predict(test2, type="lp")
pptest = predict(test, type="lp")
plot(cancer$age, exp(pptest))
abline(v=...
2003 Aug 19
3
logistic regression without intercept
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
Error in glm.control(...) : unused argument(s) (intercept ...)
Is there an easy way to do this? I suppose I could start hacking away
at glm so it would take the argument and pass it on...
2014 Oct 01
2
JOB - PhD position: applying HPC in cancer research
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 anal...
2012 Jan 03
0
Job opportunity in AMSTERDAM: ANALYSIS OF NGS CANCER DATA
COMPUTATIONAL ANALYSIS OF NEXT GENERATION SEQUENCE DATA
(http://bioinformatics.nki.nl/vacancies.php)
THREE BIOINFORMATICS POSITIONS
PROJECT OUTLINE
Genomic alterations are major determinant of responses to (targeted) therapies in cancer. In fact, the best positive and negative predictors of responses to targeted therapies are alterations in kinases or their direct downstream effectors. To gain insight into resistance mechanisms to therapy and thus better tailor treatment, we are approaching this problem from two different angles....
2014 Oct 03
0
JOBS: New positions in computational biology, bioinformatics, statistics, HPC and software engineering
...positions in and around bioinformatics, biostatistics and computational biology.
These range from HPC and mathematical programming, through biostatistics and biomarkers, to computational biology and bioinformatics. Focuses include single cell genomics and personalised medicine in lung and prostate cancer.
For full details, please visit our website at:
http://www.cruk.manchester.ac.uk
Brief summaries below:
RNA Biology Group - Crispin Miller
==========================
Postdoctoral Scientist in Computational Biology:
A position is now available for a highly motivated postdoctoral research scienti...
2008 Jun 02
3
print and read.table commands
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"): cannot open file'C:\Document and
Settings\All Users\Desktop\colon cancer..txt
2.I am running the simple 1 line script print (fi...
2009 Sep 08
0
Fred Hutchinson Cancer Research Center - Systems Analyst/Programmer III/IV (AD-22564)
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 transplan...
2008 Mar 10
3
A stats question -- about survival analysis and censoring
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 that heart disease isn't independen...
2013 Jun 17
2
SVMREF infinte number of genes
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 database
db <-
read.csv(file="databases\\colon-cancer\\colon-cancer.csv",hea...
2010 Sep 20
2
select affy probes of cancer-related genes
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 Co...
2011 Aug 16
3
Bayesian Relative Survival Analysis in R?
...Relative survival and the package splinesurv<http://cran.r-project.org/web/packages/splinesurv/index.html> is for Nonparametric bayesian survival analysis.
(For your information, relative survival is the method of choice for estimating patient survival using data collected by population-based cancer registries although its utility is not restricted to studying cancer( Dickman and Adami 2006; Dickman et al. 2004).”, which is a concept defined by Berkson (1942) and Berkson & Gage (1950).Two data files are required in order to estimate relative survival; a file containing individual-level dat...
2011 Nov 21
0
Programmer position in the Gottardo lab at the Fred Hutchinson Cancer Research Center
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 Ca...
2008 Mar 19
1
betabinomial model
...my loglikelihood by
writing a function directly for loglikelihood and try to optimise using
optim it gives warnings as well as error and if i use NLMINB then
convergence is false.
Can someone save my soul..... pl!!!!!!!!z below is my program script
..............
#ovarian cancer data and parity among 769 probands and their mothers
#cancer in proband
y1<-c(1,1,1,1,1,1,1,rep(1,29),rep(1,36),rep(1,41),r!
ep(1,85),rep(1,105),rep(1,84),
1,rep(0,22),rep(0,33),rep(0,38),rep(0,50),rep(0,103),rep(0,135))
#cancer in mother
y2<-c(1,1,1,1,1,1,1,rep(0,29),r...
2001 Sep 08
5
Wine and Windows 2000
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 in finding a cure for cancer?
http://members.ud.com/services/teams/team.htm?id=2910655E-026A-47F8-A1CE-C45
B9BAAB072-
2005 Jun 21
1
Seeking Inbound 800# Origination for Unique Prostate Cancer Support Call-In Show
Dear Asterisk Community,
Does your company provide inbound 800# origination? If so, please read
this message and e-mail us a quote for monthly co-lo hosting of our
asterisk server and per-minute inbound 800# origination.
The Prostate Cancer Research and Education Foundation (PC-REF) is a
non-profit organization dedicated to helping prostate cancer sufferers and
their loved ones. We have created a weekly "call-in show" using Asterisk
that we offer as a FREE service to the public. Callers can ask their
questions from world r...
2012 Oct 30
1
sqlFetch doesn't read the whole objects.
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.
EJ...
2010 Apr 23
2
Problem with parsing a dataset - help earnestly sought
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))
data$cancer.problems <- c("Y; DX AGE: 28; COLON", ""...
2010 Mar 24
1
Affymetrix Cancer Dataset
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
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