{"push_id":1207899096,"size":1,"distinct_size":1,"ref":"refs/heads/master","head":"eef78d08e538ac7ca7f2ccaad5de8e6751923309","before":"bf41760527d542c9b54d3c1b26ad6912d1fbbbdc","commits":[{"sha":"eef78d08e538ac7ca7f2ccaad5de8e6751923309","author":{"name":"wertek","email":"c9e39e110c65c496c5145f6f7549a265c67de470@gmail.com"},"message":"The file functionsForscRNAseq/andersMethod/andersMethodFunctions.R is being commited here. It can be used to conveniently apply the Anders Method to a countmatrix (1 batch, several batches together, etc.) as in the example below. The To Dos are:\n____ finish implementing the plot functions. These should export control plots that illustrate whether the method worked well and in a meaningful way. As of now, I simply pasted into the function what I had applied to an individual dataset. This now needs to be generalized to serve as a function.\n____ perhaps normalize also for transcript length, this I have not done so far.\n____ use it for example with the following function call:\n    # matrices<-andersSplit(batch)\n    #countsMouse<-matrices[[1]]\n    #countsERCC<-matrices[[2]]\n    #variableGenes<-andersVarGene(countsMouse,countsERCC)\n    #print(paste(\"Number of variable genes: \",dim(variableGenes)[1]))","distinct":true,"url":"https://api.github.com/repos/FelixTheStudent/snakeRules/commits/eef78d08e538ac7ca7f2ccaad5de8e6751923309"}]}
{"actor":{"display_login":"FelixTheStudent"}}