search for: fhml

...wsing manuals and vignettes without finding any explicit suggestions on how to operate... Can anyone, please, point my attention to the relevant documentation? Thank you in advance and best regards, Marco -- Marco Manca, MD University of Maastricht Faculty of Health, Medicine and Life Sciences (FHML) Cardiovascular Research Institute (CARIM) PO Box 616 6200 MD Maastricht E-mail: m.manca at path.unimaas.nl Office telephone: +31(0)433874633 Personal mobile: +31(0)626441205 Twitter: @markomanka ****************************************************************************************************...

Thanks Andris, Michael and Petr for your prompt and kind feedbacks. I will try generating my own biplot from low-level graph commands... I hope it will work. Best regards, Marco -- Marco Manca, MD University of Maastricht Faculty of Health, Medicine and Life Sciences (FHML) Cardiovascular Research Institute (CARIM) PO Box 616 6200 MD Maastricht E-mail: m.manca at path.unimaas.nl Office telephone: +31(0)433874633 Personal mobile: +31(0)626441205 Twitter: @markomanka ****************************************************************************************************...

...ocInstaller_1.4.9 DBI_0.2-5 [4] IRanges_1.14.4 preprocessCore_1.18.0 RSQLite_0.11.2 [7] stats4_2.15.2 tools_2.15.2 zlibbioc_1.2.0 Thank you in advance, Marco -- Dr Marco Manca University of Maastricht Faculty of Health, Medicine and Life Sciences (FHML) Cardiovascular Research Institute (CARIM) Mailing address: PO Box 616, 6200 MD Maastricht (The Netherlands) Visiting address: UNS40 West building - 5th floor Room5.544, Universiteit Singel 40, 6229 HX Maastricht E-mail: m.manca at maastrichtuniversity.nl Office telephone: +31(0)433884289 Person...

Hi BioC user, I have a problem extracting the gene set I would like to work with. Here is I work with my data: normData <- read.delim("normalizedData.txt",sep ="\t") ######### two class unpaired comparison # y must take values 1,2 classes <- c(-1,-2,1,2) #prepere the data for the samr analysis data.x <-as.matrix(normData[,8:11]) d=list(x=data.x,y=classes,