Showing : image analysis • reset
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Extracting coordinates of points in an image
EBImage image analysis
5.3 years ago eran.tauber • 0
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Job: Scientific Computing Team Leader
job bioinformatics image analysis research software Job
5.3 years ago António Miguel de Jesus Domingues ▴ 510
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CRImage createTrainingSet package is not available to install
classification segmentation cell types image analysis crimage
7.4 years ago Jenny.chien • 0
3
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6
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Relabelling objects - EBImage
ebimage image analysis image processing
7.7 years ago • updated 7.6 years ago Mathieu Gendarme ▴ 20
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Job: PhD Positions in Computational Cancer Research
computational biology image analysis cancer genomics statistics Job
9.1 years ago Bernd Fischer ▴ 550
2
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5
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EBImage crashing in for-loop
ebimage crash image analysis
updated 10.6 years ago by ▴ 750 • written 10.6 years ago by • 0
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Job: Bioinformatics / Biostatistics in genetic interaction analysis
high-throughput screening interactions genetics jobs image analysis Job
10.8 years ago Bernd Fischer ▴ 550
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Job: PhD position - Heidelberg: Bioinformatic analysis of high-throughput and image-based RNAi screening data
high-throughput screening RNAi image analysis data integration visualization Job
10.8 years ago e.schmidt ▴ 10
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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…
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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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