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Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
I am, but perhaps I'm not understanding how it should work. > sse = DropletUtils::read10xCounts(curr_files[1], mtx.class = 'SVT_Sparse…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
James W. MacDonald
68k
Did you use the development version as Aaron suggested? There is an argument to read the market matrix file directly into an `SVT_SparseMat…
Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in
by
dan.gatti
• 0
Was anyone else able to put the pieces together using the reply above? I read in one 10X sample using DropletUtils::read10xCounts() and thi…
Comment: Announcing GBCC 2025: The first-ever joint conference between Bioconductor and G
by
dzv20413
• 0
Wow, GBCC 2025 sounds amazing, can not wait to see the logo contest results! Also, I just played [Level Devil][1] and it is super addictive…
Comment: Memory error while running alignments
by
Erik Wright
▴ 150
How much memory is available on the computer? A distance matrix of 50k sequences requires at least 50k*50k/2 * 8 bytes = 10GB, assuming the…
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Comment: Check removeBatchEffect effectiveness
Comment: Streamlining the computing time for MiloDE p-value correction in large dataset?
Answer: DESeq2 design for haplotype MPRA
A: Different logFC (log2foldchange) values for genes from limma-voom and other too
Comment: Check removeBatchEffect effectiveness
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