Showing : bootstrap • reset
1
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3
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2.3k
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Two Genotypes Four Treatments RNA-seq Analysis
salmon rna-seq swish bootstrap fishpond
updated 3.9 years ago by 43k • written 3.9 years ago by • 0
0
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6
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1.7k
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tximport lose transcript names with Salmon bootstrap
salmon tximport bootstrap
updated 5.8 years ago by • 0 • written 5.9 years ago by • 0
0
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0
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1.4k
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Using log2FC distance matrix in Boot.Phylo to create bootstrapped trees
tree bootstrap dgelist plotmds
7.9 years ago Larry K. • 0
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1.2k
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Jackknifing/bootstrapping input and output question
jackknifing R microarray bootstrap
8.5 years ago bhgyu ▴ 30
1
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7
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2.1k
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[GSVM] bootstrapping error
GSVM bootstrap snow
updated 9.0 years ago by ★ 3.4k • written 9.0 years ago by ▴ 20
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4.6k
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ape - delete bootstrap values (node.labels) less than a certain value
ape bootstrap node phylogenetic tree
10.6 years ago wd ▴ 30
0
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1
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2.1k
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DESeq2 -- Bootstrap subsampling to estimate distribution of expression
deseq2 bootstrap differential expression
updated 10.8 years ago by 43k • written 10.8 years ago by ▴ 30
7 results • Page 1 of 1
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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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