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Big Data
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Job:
Postdoc and PhD student in Bioinformatics/Biostatistics
NGS
R
statistics
genomics
big data
Job
6.9 years ago • updated 6.1 years ago
Luo Weijun
★ 1.6k
0
votes
0
replies
1.3k
views
Job:
Data Manager - BC Cancer Research Center, Vancouver BC
computational
genomic
big data
bioinformatics
Job
6.6 years ago
jmaanaki
• 0
0
votes
0
replies
1.4k
views
Job:
Postdoctoral positions in drug discovery and genome data science
computational biology
biostatistics
big data
data science
drug discovery
Job
6.9 years ago
Thomas Girke
★ 1.7k
1
vote
2
replies
1.5k
views
How to handle big data sets (>10GB) in Bioconductor packages?
big data
methylmix
memory problem
updated 7.4 years ago by
Martin Morgan
25k • written 7.4 years ago by
perdedorium
• 0
1
vote
1
reply
1.6k
views
Subsetting Rle with ORF-sequence-positions by the 3 frames
Rle
Big data
coverageByTranscript
7.8 years ago • updated 7.7 years ago
hauken_heyken
▴ 80
0
votes
0
replies
1.8k
views
What is the recommended method for running WGCNA on large metatranscriptomic dataset?
wgcna
transcriptome
big data
metagenomics
gene expression
7.9 years ago
jol.espinoz
▴ 40
3
votes
1
reply
1.8k
views
AnnotationHub: confusing pValue/qValue for (some) Roadmap records
roadmap project
annotationhub
epigenomics
big data
updated 9.7 years ago by
Valerie Obenchain
★ 6.8k • written 9.7 years ago by
kevin.rue
▴ 350
0
votes
0
replies
2.6k
views
Job:
Postdoctoral Research Associate Position- Harvard Medical School (Probabilistic Algorithms and Software for Biomedical Big Data)
Probabilistic Algorithms
Big Data
Job
10.7 years ago
Doe, Aimee
▴ 40
8 results • Page
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Comment: DESeq2 - how many surrogate variables from svaseq, use of lfcshrink
by
ja569116
• 0
Hi @atpoint Thanks for the information. Could you please expand on when to use adjusted p-values vs nominal p-values. My understanding was …
Answer: limpa analysis advice
by
Gordon Smyth
53k
It is actually very hard to estimate the DPC from observed data, because the curve is function of unobserved intensities rather than a func…
Answer: When to use edgeR or limma
by
Gordon Smyth
53k
The short answer is that we generally prefer edgeR for applications with lots of small counts and limma for complex designs with random eff…
Comment: limpa-blank normalization and Spectronaut's PTM stoichiometry
by
Gordon Smyth
53k
I updated the above answer today.
Answer: When to use edgeR or limma
by
James W. MacDonald
68k
I would use edgeR's quasi-likelihood model for any analysis with a smaller number of observations (like 3 vs 3 or similar), but if you have…
Votes
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
Answer: When to use edgeR or limma
A: deseq2 - paired samples in 2 sequencing types with very different library sizes
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