hi Mingfeng,
I sent a follow-up email that I forgot to bump the version number, and
the
fix will be in 1.4.5, which should be out today.
Mike
On Mon, May 12, 2014 at 12:03 PM, Mingfeng Li <mingfeng.li@yale.edu>
wrote:
> Hi Mike,
>
> Thanks your help. Unfortunately, it does not work in my computer.
It is
> still hanged when typing "system.time({nbinomWaldTest(ddsMF)})". I
pasted
> the sessionInfo. Thanks.
>
> best,
> Mingfeng
>
>
> > sessionInfo()
> R version 3.1.0 (2014-04-10)
> Platform: x86_64-unknown-linux-gnu (64-bit)
>
> locale:
> [1] C
>
> attached base packages:
> [1] parallel stats graphics grDevices utils datasets
methods
> [8] base
>
> other attached packages:
> [1] DESeq2_1.4.4 RcppArmadillo_0.4.300.0 Rcpp_0.11.1
> [4] GenomicRanges_1.16.3 GenomeInfoDb_1.0.2 IRanges_1.22.6
> [7] BiocGenerics_0.10.0
>
> loaded via a namespace (and not attached):
> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7
> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1
> [7] XVector_0.4.0 annotate_1.42.0 genefilter_1.46.1
> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29
> [13] locfit_1.5-9.1 splines_3.1.0 stats4_3.1.0
> [16] survival_2.37-7 xtable_1.7-3
>
>
>
> On Sat, May 10, 2014 at 10:43 AM, Michael Love <
> michaelisaiahlove@gmail.com> wrote:
>
>> hi Mingfeng,
>>
>> Thanks for reporting this and sending the example. I found the bug
>> that produced this hang, and just pushed v1.4.4 (available in 1 day
on
>> Bioc), which fixes this:
>>
>> > library(DESeq2)
>> > load("~/Downloads/tmpFile.Rdata")
>> > system.time({nbinomWaldTest(ddsMF)})
>> user system elapsed
>> 14.841 0.777 15.634
>>
>> # or the whole pipeline:
>>
>> > system.time({DESeq(ddsMF)})
>> using pre-existing normalization factors
>> estimating dispersions
>> you had estimated dispersions, replacing these
>> gene-wise dispersion estimates
>> mean-dispersion relationship
>> final dispersion estimates
>> fitting model and testing
>> user system elapsed
>> 38.768 1.457 40.240
>>
>> Mike
>>
>>
>> On Fri, May 9, 2014 at 5:38 PM, Mingfeng Li <mingfeng.li@yale.edu>
wrote:
>> > Hi Mike,
>> >
>> > Thanks your so fast response. I would like to send you one
example in
>> Rdata.
>> > You can get the information of the design, the normalization
factor
>> matrix.
>> > please reproduce the following codes:
>> > library("DESeq2")
>> > load("tmpFile.Rdata")
>> > ddsMF = nbinomWaldTest(ddsMF);
>> >
>> >
>> > Best,
>> > Mingfeng
>> >
>> >
>> >
>> >
>> > On Fri, May 9, 2014 at 4:12 PM, Michael Love <
>> michaelisaiahlove@gmail.com>
>> > wrote:
>> >>
>> >> hi Mingfeng,
>> >>
>> >> With 6 samples, this is typically seconds to run. If it's taking
longer
>> >> than a few minutes, usually this means something is wrong. Could
you
>> make a
>> >> small reproducible example and send me data and a script? If
this is
>> not
>> >> possible, I'd need some more information, like the code you are
using,
>> the
>> >> design, the normalization factor matrix, etc.
>> >>
>> >> Mike
>> >>
>> >>
>> >> On Fri, May 9, 2014 at 3:14 PM, Mingfeng [guest] <
>> guest@bioconductor.org>
>> >> wrote:
>> >>>
>> >>>
>> >>> It is the exciting news of the coming of DESeq2.
>> >>> There are many updates and incorporation with other software,
e.g.,
>> Wald
>> >>> test and cqn.
>> >>> My question is the nbinomWaldTest may stuck running for long
time when
>> >>> using multiple factors, e.g., running several days but no
results or
>> >>> messages coming out. It works well when I remove the "type"
factor.
>> >>> I paste the meta data in the following:
>> >>> condition type
>> >>> S103 W U
>> >>> S149 W Y
>> >>> S114 W Y
>> >>> S98 K U
>> >>> S92 K U
>> >>> S159 K Y
>> >>>
>> >>>
>> >>>
>> >>>
>> >>>
>> >>>
>> >>> Thanks.
>> >>>
>> >>>
>> >>>
>> >>>
>> >>> -- output of sessionInfo():
>> >>>
>> >>> > sessionInfo()
>> >>> R version 3.1.0 (2014-04-10)
>> >>> Platform: x86_64-unknown-linux-gnu (64-bit)
>> >>>
>> >>> locale:
>> >>> [1] C
>> >>>
>> >>> attached base packages:
>> >>> [1] splines parallel stats graphics grDevices utils
>> datasets
>> >>> [8] methods base
>> >>>
>> >>> other attached packages:
>> >>> [1] cqn_1.10.0 quantreg_5.05
SparseM_1.03
>> >>> [4] preprocessCore_1.26.0 nor1mix_1.1-4 mclust_4.3
>> >>> [7] DESeq2_1.4.1 RcppArmadillo_0.4.300.0
Rcpp_0.11.1
>> >>> [10] GenomicRanges_1.16.2 GenomeInfoDb_1.0.2
IRanges_1.22.4
>> >>> [13] BiocGenerics_0.10.0
>> >>>
>> >>> loaded via a namespace (and not attached):
>> >>> [1] AnnotationDbi_1.26.0 Biobase_2.24.0 DBI_0.2-7
>> >>> [4] RColorBrewer_1.0-5 RSQLite_0.11.4 XML_3.98-1.1
>> >>> [7] XVector_0.4.0 annotate_1.42.0
genefilter_1.46.0
>> >>> [10] geneplotter_1.42.0 grid_3.1.0 lattice_0.20-29
>> >>> [13] locfit_1.5-9.1 stats4_3.1.0 survival_2.37-7
>> >>> [16] xtable_1.7-3
>> >>>
>> >>> --
>> >>> Sent via the guest posting facility at bioconductor.org.
>> >>
>> >>
>> >
>> >
>> >
>> > --
>> > *********************************************
>> > Mingfeng Li, Ph.D.
>> > Postdoctoral Associate
>> > Department of Neurobiology
>> > Yale University School of Medicine
>> > 333 Cedar Street, SHM C-327C
>> > New Haven, CT 06510
>> >
>> > E-mail: mingfeng.li@yale.edu
>> > Lab: (203) 785-5941
>> > Lab website: www.sestanlab.org
>> > *********************************************
>>
>
>
>
> --
> *********************************************
> Mingfeng Li, Ph.D.
> Postdoctoral Associate
> Department of Neurobiology
> Yale University School of Medicine
> 333 Cedar Street, SHM C-327C
> New Haven, CT 06510
>
> E-mail: mingfeng.li@yale.edu
> Lab: (203) 785-5941
> Lab website: www.sestanlab.org
> *********************************************
>
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