search for: varselrf

Dear list members, I am analyzing Affymentrix gene expression data and would like to apply the R package, VarSelRF to identifying small sets of genes that could be used for diagnostic purpose. Basically, the data matrix is composed of 22277 rows (genes) and 65 columns (samples). I did unsupervised clustering using pvclust to get 4 classes. What I would like to do is to get unique genes for each class which can...

...stat.math.ethz.ch [mailto:r-help-bounces at stat.math.ethz.ch] Sent: Friday, January 06, 2006 3:12 PM To: Weiwei Shi Cc: Diaz.Ramon; r-help Subject: Re: [R] Looking for packages to do Feature Selection and Classification Thanks. It's indeed an interesting paper. Besides RF (using Ramon's varSelRF package), I am also testing Guyon et al's (2002) Recursive Feature Elimination for my feature-selection part. On 1/5/06, Weiwei Shi <helprhelp at gmail.com> wrote: > > FYI: > > check the following paper on svm (using libsvm) as well as random > forest in the context of fea...

I am new to R and I'd like to use the randomForest package for my thesis (identifying important variables for more detailed analysis with other software). I have found extremely well written and helpful information on the usage of R. Unfortunately it seems to be very difficult to find similarly detailed tutorials for randomForest, and I just can't get it work with the information on

Hi All, Sorry if this is a repost (a quick browse didn't give me the answer). I wonder if there are packages that can do the feature selection and classification at the same time. For instance, I am using SVM to classify my samples, but it's easy to get overfitted if using all of the features. Thus, it is necessary to select "good" features to build an optimum hyperplane (?).

...uot;,"tuneR","twang","tweedie","ump","UNF","untb","urca","urn","uroot","UsingR","USPS","utils","vabayelMix","VaR","vardiag","varmixt","varSelRF","vcd","VDCutil","vegan","verification","verify","vioplot","VLMC","wavelets","wave slim","wavethresh","wccsom","WhatIf") TEMP <- c(TEMP,"wle","XML",&q...

...Quote (2010.5-1), tsModel (0.5-3), TSMySQL (2010.5-1), TSodbc (2010.5-1), TSpadi (2010.5-1), TSPostgreSQL (2010.5-1), TSSQLite (2010.5-1), ttime (1.2), ttutils (1.0-1), tuneR (0.3-0), twitteR (0.1.6), udunits (1.3.1), umlr (0.3.0), uncompress (1.33), unmarked (0.8-6), untb (1.6-3), vardiag (0.1-3), varSelRF (0.7-2), vbmp (1.16.0), vcdExtra (0.5-0), vegan (1.17-3), vegdata (0.1.5), venneuler (1.0-2), VGAM (0.8-1), vowels (1.1), VPdtw (2.1-6), vrmlgen (1.4.4), wavelets (0.2-6), waveslim (1.6.4), wavethresh (4.5), wgaim (0.99-1), wle (0.9-4), WMCapacity (0.9.5.0), wmtsa (1.0-5), wordnet (0.1-6), xlsx (0....