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When running the basic UMAP function I encountered this ERROR message:
MPA.sce<- runUMAP(MPA.sce, dimred='PCA')`
# **Error in irlba::irlba(L, nv = n, nu = 0, maxit = iters) : # function 'as_cholmod_sparse' not provided by package 'Matrix'**
This is NOT single cell expression data, but a multiparametric flow cytometry screening, raw data prior indexed as relative to control measurements. Thus all controls are closely valued around 1 across all parameters (rownames(MPA.sce)), and in MPA.sce counts=logcounts.
As background, the PCA threw several warnings:
MPA.sce<- runPCA(MPA.sce)
# **Warning in (function (A, nv = 5, nu = nv, maxit = 1000, work = nv + 7, reorth = TRUE, :# You're computing too large a percentage of total singular values, use a standard svd instead.# Warning message:# In check_numbers(k = k, nu = nu, nv = nv, limit = min(dim(x)) - :# more singular values/vectors requested than available**
I am aware this is a non-traditional approach on using SingleCellExperiment containers and especially the dimred applications, however we would like to use dimred visualizations and subsequent clustering options to subset the data and stratify Hits. I have used smaller instances of the same data type (less "cells" or here samples) under R.4.3.1 with the OSCA pipeline to successfully run TSNE, UMAP and perform downstream clusterings and statistics. Moreover, any TSNE derivatives such as
MPA.sce<- corral_sce(MPA.sce, method="svd")
# Too many components requested; setting ncomp = 9 # **Warning in irlba::irlba(mat, nv = ncomp, ...) :# You're computing too large a percentage of total singular values, use a standard svd instead.**
I have no idea why of all the UMAP is not working, any help greatly appreciated!
Thx in advance
Dear OSCA team,
When running the basic UMAP function I encountered this ERROR message:
The dataset:
This is NOT single cell expression data, but a multiparametric flow cytometry screening, raw data prior indexed as relative to control measurements. Thus all controls are closely valued around 1 across all parameters (
rownames(MPA.sce)
), and inMPA.sce
counts=logcounts.As background, the PCA threw several warnings:
I am aware this is a non-traditional approach on using SingleCellExperiment containers and especially the dimred applications, however we would like to use dimred visualizations and subsequent clustering options to subset the data and stratify Hits. I have used smaller instances of the same data type (less "cells" or here samples) under R.4.3.1 with the OSCA pipeline to successfully run TSNE, UMAP and perform downstream clusterings and statistics. Moreover, any TSNE derivatives such as
and even
run without issues on this dataset.
I have no idea why of all the UMAP is not working, any help greatly appreciated!
Thx in advance
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