![]() ![]() It works hard to keep things managed when you are using lots of apps in the front and background. I got mine through another software offer and have truly appreciated it since the first install. I have been using Process Lasso for about 1 year now. I thought I would add my two cents worth of opinion on this software. Question for PLP Vendor: Will You ever OFFER The Home Server version (or whatever Microsoft call its Home Server replacement) at a SiMiLAR DiSCOUNT or OFFER an UPGRADE for existing owners (i have meet 2 people with home servers in the last 3 weeks, who own Home Servers, who also have PAiD P.L.P Licenses on their other home computers) - to TODAY's DEAL obtained via the gotd registration? Save | Cancelįirst of all, thanks for the wonderful software offer Bitsum Technologies and GOTD! How I have NEVER seen the Process Lasso Pro HOME SERVER version offered at a DEAL PRiCE anywhere. v4.x/v5.x worked with Microsoft Home Servers, but from Version 6.x Microsoft Home Servers required a separate P.L.P. xtable_1.7-4 survival_2.38-3 GenomicAlignments_1.4.1 registry_0.3 cluster_2.0.2 sva_3.14.Looking for this type of program, only 4 weeks ago I actually had a good look around the BiTSUM websites and discovered by sheer fluke that there is a HOME SERVER version of Process Lasso Pro, for use by NON-COMMERCiAL / PRiVATE Individuals & families.įurther searching: Early posts on GiveawayOfTheDay suggest that P.L.P. Loaded via a namespace (and not attached): ![]() IlluminaHumanMethylation450kmanifest_0.4.0 ChAMP_1.6.0 Illumina450ProbeVariants.db_1.4.0 stats4 parallel stats graphics grDevices utils datasets methods base Can only guess it is referring to the wrong columns in the limma results obtained from champ.MVP Using default champ.lasso and limma returns this error, was able to remedy by changing column reference to. Trace: champ.lasso(fromFile = T, limma = annottated, beta.norm = batchNorm$beta,īatchDone = TRUE, pd = myLoad$pd, image = F, bedFile = FALSE,Įrror in `[.ame`(,, 22:24, ) : Champ.lasso(fromFile=T,limma=annottated,beta.norm=batchNorm$beta,batchDone=TRUE,pd=myLoad$pd,image=F,bedFile=FALSE,resultsDir=getwd()) ![]()
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