Bioconductor Prostar

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1.5k

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Prostar

3.4 years ago benoit.marchand • 0

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Prostar

updated 3.1 years ago by Wang • 0 • written 3.6 years ago by benoit.marchand • 0

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992

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prostar proteomics

7.1 years ago laural710 • 0

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1.7k

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prostar proteomics rforproteomics annotationforge

updated 7.1 years ago by Samuel Wieczorek ▴ 10 • written 7.1 years ago by lolli.langan ▴ 20

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1.6k

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Prostar Dapar clusterprofiler

updated 7.2 years ago by Samuel Wieczorek ▴ 10 • written 7.2 years ago by laural710 • 0

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1.4k

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install error package installation DAPAR prostar R version 3.4.4

7.3 years ago rita.reig • 0

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1.6k

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Prostar

updated 7.7 years ago by Samuel Wieczorek ▴ 10 • written 8.8 years ago by kamal.fartiyal84 ▴ 10

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1.7k

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Prostar DAPAR software error

updated 7.7 years ago by Samuel Wieczorek ▴ 10 • written 7.7 years ago by van.theodorakis • 0

8 results • Page 1 of 1

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Comment: problem for finding soft power for constructing network in WGCNA algorithm by conservativepaola • 0

That's an interesting problem! Finding the optimal soft power threshold in WGCNA can definitely be tricky. I've found myself experimenting …

Comment: Issue with Soft-Thresholding in WGCNA by conservativepaola • 0

Hi Maria, your dataset looks clean! It's great you've already done the quality control steps. I've had similar issues with pickSoftThreshol…

Comment: competitive enrichment test yields too few significant results, self-contained t by Gordon Smyth 52k

The heirarchical nature of GO tends to reduce significant results from competitive tests (because parents compete with children) and increa…

Comment: competitive enrichment test yields too few significant results, self-contained t by sophiasteck007 • 0

Thank you for the help

Comment: competitive enrichment test yields too few significant results, self-contained t by bbao ▴ 10

Hi Gordon, Thanks for the advice, I gave camera a try, and it yielded around ~1,000 statistically significant gene sets from the same 11,0…

Votes

Answer: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in

Comment: competitive enrichment test yields too few significant results, self-contained t

Answer: competitive enrichment test yields too few significant results, self-contained t

Regarding the issue of background genes in enrichment analysis

Best practice for handling large data (matrix with >2^31-1 non-zero elements) in SingleCellExperiment?

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