search for: cytometri

Hi all. How do I extract date from fcs format file with R. I.e I'd like make statistical analysis using R-program, but I don't know if there are R-packets for fcs format file, and using examples. Thanks. Pta: In Linux SO exist any program that transform from fcs format to ASCII text file?

Hi all. I'd like know what is the format file saved by Leica Microsystems TCS SP2-AOBS equipped with a SP2-FCS2 Leica Microsystems workstation its datas. Cause it save in *.fcs extention file but ins't flow cytometry standart format file... Tahnks Horacio.

Hi there, I use function "kmeans" and "clara" to cluster one flow cytometry dataset. By using function "plot", the clusters got from "clara" can be graphed, while "kmeans" not. How can I get the plot of the clusters of "kmeans"? And, I hope to compare the two methods "kmeans" and "clara", or in other word, I

Hello all, I have some histograms of amount of DNA in some cells (DU145 cells overexpressing Bax and Bcl-xL for those who wish to know). The histograms show not only two peaks as expected, but three, indicating that some cells have more than normal amounts of DNA. I am interested in knowing how much of the cell populations are in each peak as well as between. I am not really sure how to go

"white" is supposed to be the default background for BMPs (according to ?bmp) but it doesn't work > bmp("test.bmp", bg="white") > plot(0) > dev.off() # results in grey background # This seems to be a good enough workaround for now. > bmp("test.bmp") > par(bg="white") > plot(0) > dev.off() # background is white

Hi there, I'm trying clustering methods on flow cytometry data. We want to evaluate the clustering results and compare the validation methods. So far the cluster validation functions I found in R are: cluster.stats{fpc} cl_agreement{clue} Are there other validation functions in R? Thank you! [[alternative HTML version deleted]]

On Thu, 11 Feb 2010, Christian Hennig wrote: >It is well know that hierarchical methods are problematic with too large >dissimilarity matrices; even if you resolve the memory problem, the number of >operations required is enormous. There is at least one exception to this. Single-linkage hierarchical clustering with a convex distance such as Euclidean distance is feasible for quite

Hello I have been trying to get WinMDI (a program for reading flow cytometry data in windows) working under wine. WinMDI has an appdb entry of http://appdb.winehq.org/appview.php?appId=2850 . I had the early versions of this program working under wine 20050930 and 20050725. I recently upgraded from 20050930 to 0.9.7 on my FreeBSD 6.0 box, and tried to run the same version that worked under

Hellos, I am looking for a package that can scrub values from flow cytometry data file keywords that have either the "$" or "@" keyword prefix. Are their any options out there? The options from WEHI, TreeStar, and whoever made "File Sanitizer" aren't working. thanks for any help on this, -- - suzanne ------------------------------------------

Dear All, We are seeking a computational research scientist interested in studying the roles of non-coding RNAs in cancer. The successful applicant will join the Cancer Research UK RNA Biology Group at the Cancer Research UK Manchester Institute (www.cruk.manchester.ac.uk). Located in Manchester UK, the Cancer Research UK Manchester Institute is a centre for excellence in cancer research. We

If you are interested in the following position, please contact Vladimir Svetnik at Vladimir_svetnik at merck.com. Date: Nov 18, 2015 Location: Rahway, NJ, US Associate Principal Scientist, Biostatistics-BIO004396 Description Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription

Hello list! I would like to fit a distribution to each of the peaks in a histogram, such as this: http://photos1.blogger.com/blogger/7029/2724/1600/DU145-Bax3-Bcl-xL.png . The peaks are identified using Petr Pikal peaks function ( http://finzi.psych.upenn.edu/R/Rhelp02a/archive/33097.html), but after that I am quite stuck. Any idea as to how I can: Fit a distribution to each peak Integrate the

Hello all, I am using the clustering functions in R in order to work with large masses of binary time series data, however the clustering functions do not seem able to fit this size of practical problem. Library 'hclust' is good (though it may be sub par for this size of problem, thus doubly poor for this application) in that I do not want to make assumptions about the number of