search for: fluidigm

I know that there are quite a few packages out that there for cluster analysis. The problem that I am facing is finding a package that will not incorporate all my samples into clusters but just the samples that fit a threshold (that I have not set yet and may need help finding the right level) for genotyping. It should be able to "no call" samples outside the clusters. It also needs to

...successful applicant will integrate a dynamic team of biostatisticians, bioinformaticians, computer scientists, and programmers lead by Dr. Raphael Gottardo to support the development of software packages to analyze and integrate high throughput data from next generation immunological assays (e.g. Fluidigm, CyTOF, next generation sequencing). The position will involve the development of efficient packages for the analysis of high-throughput data, including computational algorithms development and implementation of creative solutions for large volume data management and processing. The candidate will...

#If I have two lists as follows a1<- array(1:6, dim=c(2,3)) a2<- array(7:12, dim=c(2,3)) l1<- list(a1,a2) a3<- array(1:4, dim=c(2,2)) a4<- array(5:8, dim=c(2,2)) l2<- list(a3,a4) #how can I create a new list with the mean across all arrays within the list, so all components are included? As an example for [[1]]; cbind((l1[[1]][,1]+l2[[1]][,1])/2,