Chantriolnt Andreas Kapourani

Results 5 comments of Chantriolnt Andreas Kapourani

Hi, not a developer of the package, but indeed there is an issue, which I highlighted in issue #151 , the solution is add a single line `embedding

Dear Ning, Regarding your question, here is the code used in the paper (for the Ecker2017 dataset) for: 1. Running scMET on each chromosome: https://github.com/andreaskapou/scMET-analysis/blob/master/ecker2017/all_cells/00_run/fit_scmet_window.R 2. Combining the estimates of...

Dear Ning, Yes, the way we did the analysis (line https://github.com/andreaskapou/scMET-analysis/blob/cd8700dc15e6eff590eafe0864ba17b94cb4ad23/ecker2017/all_cells/01_hvf/hvf_window.Rmd#L100) is to combine the output HVFs for each chromosome and then sort by (residual) overdispersion to extract the top...

Hi, It's a shame you couldn't use Melissa for your analysis. The main difference is that scMET is not neither a clustering nor an imputation tool. Actually scMET can be...

Hi, This is strange, this function should run relatively fast. Could you please share your output and commands here or directly via email ([email protected]) and I can have a look?...