MemoryError

[MusculusMus]

Hi,

When I test the demo data, everything look good. But when I run my own data with ~18000 genes and 4 samples under each condition, I got MemoryError after 296 minutes of running.

Here are details about my windows laptop: Processor Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz 2.21 GHz Installed RAM 32.0 GB (31.7 GB usable) System type 64-bit operating system, x64-based processor

The demo data contains only hundreds of genes, so have you tried whole transcriptome data? How can I avoid this kind of error? If 32 GB memory is not large enough, what's the right memory size for my study?

Shuai

[MusculusMus]

I solved this memory error by filtering the counts, a data frame includes ~6000 genes and 12 samples per condition take ~40 minutes. But the output files are all empty, I follow the default setting and I am not sure what the right setting for my data set is:

n_estimators = 100 n_features = 50 n_subsamples = 50

Another explanation for empty output files is the gene names belong to the mouse, is it okay to run the mouse gene names using your boostdiff_inference module?

Shuai

[gihannagalindez]

Hi Shuai,

Apologies for the late reply. Regarding the dataset, mouse data (or any gene expression dataset) can be used and should work, as long as the gene names/features are under a column named "Gene." Regarding the memory usage, I would recommend using a cluster for real large datasets from human or mouse. However, considering that your dataset only has 12 samples per condition, I would not expect BoostDiff to perform very well with few samples. Ideally, there would be at least 30 samples per condition because of how the method works. Nevertheless, I would be happy to look at a small sample dataset from you and find out why the output is empty in that case.

Best, Gihanna