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downloads http429 http Bioconductor

15 months ago shepherl 4.2k

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import.bw rtracklayer Windows http

3.9 years ago sla • 0

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import.bw rtracklayer http RStudio

updated 4.9 years ago by Michael Lawrence ★ 11k • written 4.9 years ago by Søren • 0

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genomicdatacommons tcga gdc rest http

updated 6.8 years ago by Sean Davis 21k • written 6.8 years ago by mk ▴ 20

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gviz gviz-package rtracklayer http

7.7 years ago enricoferrero ▴ 680

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arrayexpress xml rcurl http EBI

updated 8.1 years ago by Wolfgang Huber ★ 13k • written 8.1 years ago by Bernd Klaus ▴ 610

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security http source installation

updated 10.4 years ago by Dan Tenenbaum ★ 8.2k • written 10.4 years ago by will.townes • 0

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Comment: Could we detect difference at pathway level but not significant different at gen by Chi • 0

The extrusion process affects kibble texture flavor and digestibility shaping both nutrition and taste. Balance is keyjust like in http://r…

Comment: Could we detect difference at pathway level but not significant different at gen by Chi • 0

GSVA works when gene level changes are small but pathways shift as a group. After your analysis take a quick break with https://cookieclick…

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…

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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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