Bioconductor Prada

Showing : prada • reset

votes

replies

2.4k

views

facs prada flowstats

5.1 years ago Bogdan ▴ 670

votes

replies

1.0k

views

MultiChannel prada MultiChannel prada

12.4 years ago florian.hahne@novartis.com ★ 1.6k

votes

1.3k

views

prada prada

updated 18.2 years ago by Sean Davis 21k • written 18.2 years ago by Klaus-Peter Pleissner ▴ 70

votes

replies

1.2k

views

prada rflowcyt prada rflowcyt

19.4 years ago Nolwenn LeMeur ▴ 140

votes

1.4k

views

Survival Infrastructure Cancer hexbin prada rfcdmin rflowcyt Survival Infrastructure

updated 19.4 years ago by Seth Falcon ★ 7.4k • written 19.4 years ago by Ulrik Stervbo ▴ 80

votes

1.3k

views

prada rflowcyt prada rflowcyt

updated 19.4 years ago by Nolwenn LeMeur ▴ 140 • written 19.4 years ago by dr. Treszl András ▴ 10

votes

replies

955

views

prada prada

20.0 years ago Seth Falcon ★ 7.4k

7 results • Page 1 of 1

Recent ...

Replies

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…

Votes

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

Awards • All