search for: antibody

...ine up. I am using plot right now but the edges are not neat and it would be nice if I could just draw 1 X axis and not both of them. Here is my code: upper<-bwplot(SignalUsed~as.factor(AllNormalHitsNamesCount),data=NmlOverviewArray2, xlab="", ylab="Intensity of Individual Antibody Responses", main="Intensity, Frequency, Distribution, & Quantity of Normal Antibody Responses", box.ratio=1, panel = function (AllNormalHitsNamesCount,...) { panel.bwplot(...) } ) lower<-barchart(as.vector(table(NmlOverviewArray2$AllNormalHitsNamesCount)) ~as.facto...

Hello I am am new to R and any help with the following would be appreciated: I have a list (example attached) and I would like to create a new list which is a filtered version of this list. I.e I would like a list that only contains elements with this value: Chr 10 : 21853562 - 21855482 Any pointers/tips would be great. Thanks! Nikol -- Bioinformatician/Computer Associate Cambridge Institute

Hello R-listers, I'm working in an experiment that try to determine the degree of infection of different clones of a fungus and, one of the measures we use to determine these degree is the counting of antibodies in the plasma at different dilutions, in this experiment the maximum number of dilutions was eleven. I already checked for differences on the maximum concentration of the

...dimensions, and, furthermore, the dimensions themselves are named. In fact, I created the dimnames attribute with an expression of the form: dimnames(myarray) <- list(line=c(...), "compound:name"=c(...), "compound:concentration"=c(...), time=c(...), replicate=c(...), "antibody:name"=c(...)) ...where the values passed for attributes line, "compound:name", .., "antibody:name" are all vectors with mode "character". Question 1: I'd like to save this array in a file having an ASCII (i.e. non-binary) format that can be easily read by R....

...; string and generates snippet. Xapian::Snipper generates the following snippet: "? ? 1 I * I I Andre , Lichtma SECOND EDITION B Q ? If1 Immun logy Functions and Disorders of the Immune System NOT FOR SALE C1q ? lymphocyte Antibody-secreting (plasma) cell Ant..." My approach generates this snippet for the same search string (not included in the example): "mechanisms of humoral immunity the elimination of <b>extracellular</b> <b>microbes</b> and toxins 143 9 immunologic tolerance ... fo...

My question: On Windows, R's system() command prepends several directories to those in the Windows Path variable. >From ?system The search path for 'command' may be system-dependent: it will include the R 'bin' directory, the working directory and the Windows system directories before 'PATH'. This shadows any executables on the Path that share a

I am looking for the syntax to capture XML tags marked with /DescriptorName MajorTopicYN="Y"/ , but the combination of the internal space (between "Name" and "Major" and the embedded quote marks are defeating me. I can get all the "DescriptorName" tags, but these include both MajroTopicYN = "Y" and "N" variants. Any suggestions?

Hi,all with my data,there are more than 1000 quantitative results of antibody concentrations, there may be 2 components(positive and negative), or 3 components (may be strong positive, positive, and negative), or 4-6 components. Could you tell me how to determine the number of components of the mixture model? the "anova.mix" in mixdist of the R software seems not...

...urce:UniProtKB/TrEMBL;Acc:B7ZGX0] gene ENSG00000227232 1 -1 14363 29570 17551 29343 WASH5P WAS protein family homolog 5 pseudogene (WASH5P), non-coding RNA [Source:RefSeq DNA;Acc:NR_024540] gene ..... Chers list (chersList) name chr start end cellType antibody features maxLevel score chr1.cher1 1 859132 859732 human AB ENSG00000223764 ENSG00000231958 ENSG00000187634 1.25736038968316 0.664381383074449 chr1.cher2 1 889564 890464 human AB ENSG00000188976 1.47884233632064 2.88839131446868 chr1.cher3...

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.... Some "typical" ones are design and analysis of in vitro and in vivo studies exploring efficacy, pharmacokinetics, and toxicity; design and analysis of high-throughput experiments including genomic, proteomic, and imaging platforms; bioanalytical assay development; optimization of robust antibody fermentation and purification processes; and statistical support to ensure compliance, safety, and efficacy of our marketed products. We are seeking individuals with a broad knowledge of statistical methodology who are eager to work in an exciting collaborative environment to apply their knowledg...

Hi all, I have just uploaded the hbim package. This package does calculations related to the Hill/Bliss independence model as applied to mulitcomponent vaccines. Specifically, the package caculates expected relative risk and proportion protected assuming normally distributed log10 transformed antibody dose for a several component vaccine. It uses Hill models for each component which are combined under Bliss independence. A description of the motivation for the package is published in: Saul A, Fay MP (2007). Human Immunity and the Design of Multi-Component, Single Target Vaccines. PLoS ONE 2(9)...

Hi all, I have just uploaded the hbim package. This package does calculations related to the Hill/Bliss independence model as applied to mulitcomponent vaccines. Specifically, the package caculates expected relative risk and proportion protected assuming normally distributed log10 transformed antibody dose for a several component vaccine. It uses Hill models for each component which are combined under Bliss independence. A description of the motivation for the package is published in: Saul A, Fay MP (2007). Human Immunity and the Design of Multi-Component, Single Target Vaccines. PLoS ONE 2(9)...

...clinical trials. Statistical activities are commensurately diverse. Some "typical" ones are design and analysis of animal testing for drug efficacy, pharmacokinetics, and toxicity; microarray experiment design and data analysis; bioanalytical assay development; and optimization of robust antibody fermentation and purification processes. We are seeking individuals with a broad knowledge of statistical methodology who are eager to work in an exciting collaborative environment to apply their knowledge to drug discovery and development. Because we are a science driven company on the cutting ed...

BioInformatics Scientist Job Code: 10-TR25 Location: Cambridge, MA Description We are seeking a highly motivated, independent bioinformatics scientist to join a group of scientists, analysts and programmers to develop tools and methodologies for large-scale gene expression data analysis. The group supports a variety of research projects in target and drug discovery as well as biomarker

Dear all, Here is my code which am using to combine 5th column from different data sets. Here is the function to do my job genesymbol.append.file <-NULL gene.column <- NULL readGeneSymbol <- function(files,genesymbol.column=5){ for(i in fnames){ temp <- read.table(fnames,header=T,sep="\t",stringsAsFactors=F,quote="\"")