Biostar Feature selection

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microarray biobase feature selection t.test R

updated 7.4 years ago by svlachavas ▴ 800 • written 7.4 years ago by babumanish837 ▴ 10

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rnaseq machine learning feature selection

updated 4.2 years ago by chris86 ▴ 400 • written 4.2 years ago by marak • 0

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sigFeature svm-rfe sigCVError feature selection

2.6 years ago rekren ▴ 20

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5

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limma clustering differential gene expression hierarchical clustering feature selection

5.4 years ago • updated 5.3 years ago lirongrossmann ▴ 70

4 results • Page 1 of 1

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Answer: DESeq2 parameter infernce by Michael Love 39k

We use IRLS which is related to Newton-Raphson method. I suppose you can use any optimization method you prefer. We also sometimes use L-BF…

Answer: DESeq2 with 2 continuous factors, LRT, coeficients and slope by Michael Love 39k

See `?results` which describes what the LFC is when you perform an LRT: "*For analyses using the likelihood ratio test*..." Also in the …

Answer: DESeq2 with sample effect, unequal sample sizes by Michael Love 39k

For statistical analysis plans such as design and coefficient interpretation, I recommend collaborating with a local statistician or someon…

Comment: Bioconductor tool for curating annotations? by Lluís Revilla Sancho ▴ 700

I think you can find those transcripts not overlapping with a GRanges object easily via ?GenomicRanges::setdiff, but I don't know how to an…

Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE by drknwk • 0

Exact same problem here suddenly. Hope someone will have a fix soon!

Votes

Answer: AnnotationForge::makeOrgPackage "argument is missing, with no default" Errors

Comment: Error in .order_seqlevels(chrom_sizes[, "chrom"]) : !anyNA(m32) is not TRUE

Answer: Limma-voom with inverse probability weights

A: Limma-voom with external observation weights

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