MultiK
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siyao-liu
MultiK is a data-driven tool that objectively assesses the optimal number(s) of clusters based on the concept of consensus clustering via a multi-resolution perspective.
Hi, I am running MultiK with a 4Gb seurat object running 10 reps. I am running it as a job requesting 240Gb of memory but am still getting this error....
How can I use a processed single cell dataset from Seurat (before clustering) as an input into MultiK?
Hello I am very interested in evaluating MultiK on my scRNA seq samples. I tried with one sample and only 10 reps but got the following error ``` cannot alllocate...
Hi, I could not install MultiK from github on R locally on my computer (MacOSX). Instead, I have downloaded the whole .zip file and am running each R function (MultiK,...
I am trying to run MultiK for a Seurat object created based on a scRNA count matrix (28791 features across 5000 samples within 1 assay). However, this is what happens:...
``` > multik DiagMultiKPlot(multik$k, multik$consensus) Error in if (all(lineseg.df[lineseg.df$p1 == which.k | lineseg.df$p2 == : missing value where TRUE/FALSE needed ``` Any help with this?
Hello. I am trying to implement MultiK on my scRNA datasets. I have two questions: 1. The running time is long and the memory occupied is large, How do I...
Hello. I am trying to implement MultiK on two separate datasets but am running into issues. I shall highlight the issues separately for each dataset: 1) Dataset A with 10k...
Hi @siyao-liu Can you suggest some commands to automatically return the optimal k value based on the convex hull without having to look at the diagnostic plot (i.e. for data...
Error in strsplit(lineseg.df$end_points, "-") : non-character argument
