Bioconductor Pd.moe430a

Showing : pd.moe430a • reset

0

votes

1

reply

1.8k

views

oligo pd.moe430a gcrma affymetrix normalization

updated 5.9 years ago by Rise • 0 • written 6.8 years ago by Guido Hooiveld ★ 4.1k

1 result • Page 1 of 1

Recent ...

Replies

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

Oh. ``` > z <- read10xCounts(c(tmpdir, tmpdir), mtx.class = "SVT_SparseMatrix", delayed = TRUE) > class(counts(z)) [1] "DelayedMatrix" att…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

That's weird. Using the example data works for me. ``` > example(read10xCounts) rd10xC> # Mocking up some 10X genomics output. rd10xC> ex…

Comment: Join BOC Sciences at Drug Discovery Chemistry by teamardigen • 0

Sounds like an exciting event for anyone passionate about small molecule innovation. The focus on discovery and optimization really drives …

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…

Votes

Join BOC Sciences at Drug Discovery Chemistry

Drug datasets for RNA-seq

Comment: Check removeBatchEffect effectiveness

Answer: DESeq2 design for haplotype MPRA

Awards • All