search for: mutation

Hello, everybody. We are working on a tool for mutation testing. The work is still in progress and far away from being done. However, we have got some results already. And we would like to share them with you. But, let me give you a brief introduction first. ### Mutation Testing In a nutshell, Mutation Testing is a way to evaluate a quality of a test...

Good Afternoon, My name is Gabriel, I'm doing an analysis if there is increase or decrease in dependence on the mutated genes, using 3 or more genes using the fisher exact test.I performed with success an analysis for two genes using fisher.test( ). example of the 2x2 contigency table: Gene A mutated | Gene A normalGene B mutated| 26

...2012-10-05 ", " 2012-10-17 " ), class = "factor"), raw = structure(c(9L, 12L, 16L, 13L, 10L, 7L, 6L, 3L, 2L, 4L, 14L, 15L, 1L, 5L, 8L, 11L), .Label = c(" ... If patient KRAS result is wild type, they will start Erbitux. ... (Several lines of material) ... Ordered KRAS mutation test 11/11/2011. Results are still not available. ... ", " ... KRAS (mutated). Therefore did not prescribe Erbitux. ... ", " ... KRAS (mutated). Will not prescribe Erbitux due to mutation. ... ", " ... KRAS (Wild). ...", " ... KRAS results are in. Patient...

...d be to add together the various columns using code like: KRASyn$Mutant_comb <- rowSums(KRASyn[grep("muta", names(KRASyn))]) What I discovered though, is that this selects columns like "nonmutated" and "unmutated" as well as columns like "mutated", "mutation", and "mutational". So I'd like to know how to select columns that have some variation of the word "mutant" without the "non" or the "un". I've been looking around for an example of how to do that but haven't found anything yet. Can anyone...

Hi R Helpers, I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this in a single step; so simply go from df0 to df1 while executing

?s 22:50 de 17/10/2024, Sparks, John escreveu: > Hi R Helpers, > > I have been looking for an example of how to execute different dplyr mutate statements on the same dataframe in a single step. I show how to do what I want to do by going from df0 to df1 to df2 to df3 by applying a mutate statement to each dataframe in sequence, but I would like to know if there is a way to execute this

...; 2011-03-01 ", " 2011-03-14 ", " 2011-10-10 ", " 2011-10-24 ", " 2012-09-15 ", " 2012-10-05 ", " 2012-10-17 " ), class = "factor"), raw = c(" ordered kras testing on 10102010 results not yet available if patient has a mutation will start erbitux ", " received kras results on 10202010 test results indicate tumor is wild type ua protein positve erpr positive her2neu positve ", " will conduct kras mutation testing prior to initiation of therapy with erbitux ", " still need to order kras muta...

Dear R-Users, Did anyone follow more closely the SARS Cov-2 lineages? I have done a quick check of Cov-2 mutations on the list downloaded from NCBI (see GitHub page below); but it seems that the list contains the cumulative mutations only for B.1 => B.1.1, but not after the B.1.1 branch: # B.1 => B.1.1 seems cumulative diff.lineage("B.1.1", "B.1", data=z) # but B.1.1 => B.1.1.529...

Hello I have a question. I made an r-script and did a few commands needed to make some new variables. They all work out well, and when I run the commands, the new variables appear in the dataset. I can also work with these new variables to make other new variables from them. Also, when I use summary(dataset), those new variables appear in the summary of the dataset. But, when I do summary(new

Hello - does anyone know whether there are any packages for Mann-Kendall mutation tests in R available? The only one I could find online is this MK_mut_test: Mann-Kendall mutation test in Sibada/sibadaR: Sibada's accumulated R scripts for next probably use to avoid reinventing the wheel. (rdrr.io) <https://rdrr.io/github/Sibada/sibadaR/man/MK_mut_test.html> but there...

Hello, Why are ValueSymbolTable's mutators all private? I can't seem to find a way to add a symbol to the table without using one of them. It looks like a bug to me since there is no way to use it otherwise. --Sam

Hi Chris, I was thinking that CreateValueName() was the way to add a symbol to a symbol table. Perhaps I'm thinking about this wrong. Here's what I've got: I've got a string generated by the parser which is constant. I need to add it to the symbol table so that, on starting the second pass of my compiler, I can dump all of the string constants to be generated as code. I

On Jul 9, 2010, at 12:02 PM, Samuel Crow wrote: > Hello, > > Why are ValueSymbolTable's mutators all private? I can't seem to find a way to > add a symbol to the table without using one of them. It looks like a bug to me > since there is no way to use it otherwise. The mutators are things like Value::setName() -Chris

Hi, I have the following data: Path_Number <- 5 ID.Path <- c(1:Path_Number) # Make vector of ID's. No_of_X <- sample(50:550, length(ID.Path), replace=TRUE) # X <- split(sample(1:10000, sum(No_of_X), replace=TRUE), rep(ID.Path, No_of_X)) Y <- lapply(X,function(x) sample(x, round(runif(1, min=10, max=50)))) X and Y are both lists, and I've made the following function to

...gramming, etc.) caution against assignment in a parent enclosure (e.g., using `<<-`, or `assign`), I have not seen many promote the use of a main function and avoiding mutating global variables from top level. Would it be a good idea to promote use of main functions and limiting global-state mutation for longer scripts and dedicated applications (not one-off scripts)? Should these practices be mentioned in the standard documentation? This question was motivated largely by this discussion on Reddit:?https://www.reddit.com/r/rstats/comments/cp3kva/is_mutating_global_state_acceptable_in_r/?. Apol...

Buenas, las imágenes no se ven por lo que no puedo reproducir tu ejemplo, pero tal vez lo siguiente te valga: > library('stringr') > d <- data.frame(respuestas = c('manzana, naranja', 'manzana, melocotón', 'naranja, melocotón')) > d respuestas 1 manzana, naranja 2 manzana, melocotón 3 naranja, melocotón > d$manzana <-

I ran into an interesting issue today with ActiveRecord''s becomes method and discovered that it is mutating the receiver without me knowing it. The API docs<http://api.rubyonrails.org/classes/ActiveRecord/Persistence.html#method-i-becomes>say "The new instance will share a link to the same attributes as the original > class. So any change to the attributes in either

I love the pointer analogy. Presumably the additional complication of scope breaks this however. * itself would have been a nice operator for this were it not prone to ambiguity (`a * *b` vs `a**b`, from which @ does not suffer). Would this extension require that function authors explicitly enable auto-quoting support? I somewhat envisioned functions seeing the resolved unquoted object (within

Function has its own FunctionType* member as well as a Type* member that it inherits from GlobalValue. The latter can be mutated but not the former, leading to potential strange inconsistencies. While I realize using mutateType is probably going to trigger a bunch of "you're doing it wrong" replies, it seems like mutateType, as a necessary evil, should be virtual and do the right

Hi, I am looking for genetic optimization package that allow to define my own chromosome solution and crossover/mutation opoerations. I checked genoud and genopt, not with much effort of 'cause, with no luck. Any one can shed some light on this? thanks.