Bioconductor Seqinr

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1.5k

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fastq fast seqinr

updated 3.6 years ago by ATpoint ★ 5.0k • written 3.6 years ago by hank00000 • 0

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1.5k

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R seqinr biostrings

7.1 years ago rabalski • 0

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1.0k

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seqinr

updated 7.2 years ago by Martin Morgan 25k • written 7.2 years ago by daviqd.halvorsen • 0

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1.3k

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rmysql fastq seqinr ngs sangerseqr

7.5 years ago JoeMG • 0

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5.6k

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multiple sequences bioconductor rstudio seqinr

updated 8.7 years ago by Martin Morgan 25k • written 8.7 years ago by Riot • 0

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shuffle regioner seqinr

updated 8.9 years ago by Martin Morgan 25k • written 8.9 years ago by Dimitris Polychronopoulos ▴ 80

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3.9k

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seqinr choose bank error message

updated 9.6 years ago by Martin Morgan 25k • written 9.6 years ago by jayanthisahithi ▴ 10

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4.5k

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seqinr fasta

updated 10.2 years ago by Hervé Pagès 16k • written 10.2 years ago by Angel ▴ 40

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

You sure will find online tutorials on regression models / machine learning classifiers. The support site is for help with Bioconductor. Ch…

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…

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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