Bioconductor LfcThreshold

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2.4k

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DESeq2 lfcThreshold

3.2 years ago • updated 3.1 years ago Abir.khazaal ▴ 10

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lfcshrink DESeq2 RNASeq lfcthreshold

3.3 years ago ClaudiaE • 0

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ashr Deseq2 lfcThreshold

updated 4.1 years ago by Michael Love 43k • written 5.5 years ago by Iryna • 0

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deseq2 differential expression logfoldchange lfcshrink lfcthreshold

updated 4.4 years ago by Michael Love 43k • written 7.3 years ago by emi.sch ▴ 50

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deseq2 lfcshrink lfcthreshold differential gene expression

updated 6.9 years ago by Michael Love 43k • written 6.9 years ago by corentinrichard374369 • 0

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DESeq2 lfcThreshold

updated 7.6 years ago by Michael Love 43k • written 7.6 years ago by Mike ▴ 10

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lfcthreshold deseq2

updated 7.8 years ago by Michael Love 43k • written 7.8 years ago by lirongrossmann ▴ 80

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deseq2 microrna lfcThreshold stable expression ffpe

updated 10.0 years ago by Michael Love 43k • written 10.0 years ago by mariakarand ▴ 20

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Comment: Using DESeq2 for age prediction by picasa1983 • 0

Thanks ! Do you have any idea how to do that ?

Answer: Using DESeq2 for age prediction by ATpoint ★ 5.0k

The package has no such inbuilt function but you are free to use the vst (or any normalized) counts to train a regression model or classifi…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by James W. MacDonald 68k

Aaron already answered your question. If you have an HDF5 file, it will be read in as a `TENxMatrix` object, which isn't actually read in -…

Comment: Best practice for handling large data (matrix with >2^31-1 non-zero elements) in by dan.gatti • 0

Very strange. We have the same package versions. I tried adding the mtx.class, type, and delayed arguments, but it's still making the coun…

Comment: DESeq2 for candidate gene analysis by piffelpaff ▴ 20

thank you so much for answering Dr. Love!

Votes

A: Multi-level experiments in Limma

Answer: Should voomWithQualityWeights still be used when the sample-specific weights var

Answer: DESeq2 for candidate gene analysis

DESeq2 for candidate gene analysis

Answer: DESeq2 for candidate gene analysis

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