what is the default parameters of estimateDispersions in the DESeq
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wang peter ★ 2.0k
@wang-peter-4647
Last seen 9.6 years ago
hello all i donot know what is the default parameters of method,sharingMode,fitType estimateDispersions(object, method = c("pooled", "per-condition", "blind"), sharingMode = c("maximum", "fit-only", "gene-est- only"), fitType = c("parametric", "local"), locfit_extra_args = list(), lp_extra_args = list(), modelFrame = NULL, modelFormula = count ~ condition, ...) -- shan gao Room 231(Dr.Fei lab) Boyce Thompson Institute Cornell University Tower Road, Ithaca, NY 14853-1801 Office phone: 1-607-254-1267(day) Official email:sg839 at cornell.edu Facebook:http://www.facebook.com/profile.php?id=100001986532253
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@james-w-macdonald-5106
Last seen 9 hours ago
United States
The default is always the first listed. So estimateDispersions(object) is really estimateDispersions(object, "pooled","maximum","parametric") Best, Jim On 7/11/2012 10:38 AM, wang peter wrote: > hello all > i donot know what is the default parameters of method,sharingMode,fitType > > > estimateDispersions(object, method = c("pooled", "per-condition", > "blind"), sharingMode = c("maximum", "fit-only", "gene-est- only"), > fitType = c("parametric", "local"), locfit_extra_args = list(), > lp_extra_args = list(), modelFrame = NULL, modelFormula = count ~ > condition, ...) > -- James W. MacDonald, M.S. Biostatistician University of Washington Environmental and Occupational Health Sciences 4225 Roosevelt Way NE, # 100 Seattle WA 98105-6099
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thank you very much if i want to compare two experimental conditions i should use cds <- estimateVarianceFunctions(cds,method = "per-condition") but the manual of DESeq never metion it, it will make users confusion -- shan gao Room 231(Dr.Fei lab) Boyce Thompson Institute Cornell University Tower Road, Ithaca, NY 14853-1801 Office phone: 1-607-254-1267(day) Official email:sg839 at cornell.edu Facebook:http://www.facebook.com/profile.php?id=100001986532253
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