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Converting \"data.frame\" to appropriate format for tau.dist() in bioDist library
bioDist bioDist
updated 12.2 years ago by ▴ 470 • written 12.2 years ago by ★ 13k
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ExpressionSet Time-series correlation stuff
bioDist bioDist
updated 12.8 years ago by 68k • written 12.8 years ago by ▴ 90
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KLdist.matrix
bioDist bioDist
updated 14.3 years ago by ★ 13k • written 14.3 years ago by ▴ 10
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Fwd: How to decide which distance metric to use for micoarray data clustering?
Microarray Clustering bioDist Microarray Clustering bioDist
updated 16.1 years ago by ★ 13k • written 16.1 years ago by ▴ 950
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Questions regarding hclust parameters and output
Clustering bioDist Clustering bioDist
16.1 years ago Dana Sevak ▴ 10
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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!
Answer: DESeq2 for candidate gene analysis by Michael Love 43k
Your plan 1 is reasonable. Run DESeq2 on the whole dataset to obtain size factors and moderated dispersion estimates and then extract the u…
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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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