Recent content by skate17

I am trying to develop a likelihood model to estimate a Descriptor_Score based on another score (vdw_score) and extrapolate that model to calculate pvalues for a sample with a certain vdw and Descriptor_Score based on its location within the likelihood model.

Oh ok. So how would you suggest I approach the bootstrap to achieve the goal that I described above?

so how do i interpret the CIs?

so I can assign a p.value to a set of drugs that have a Descriptor_Score. the p.value will be a quantified measure of the confidence in binding interaction between the ligands and the protein as a function of Descriptor_Score

So is that the same as inputting a Descriptor_Score value and outputting a p-value based on the bootstrap model? If not, how would you suggest I approach that problem?

If you don't mind explaining, what is the CI-p.value similarity that you refer to?

I want to basically input a Descriptor_Score value and output a p-value based on the bootstrap model

I've been trying to get the pvalue of my samples from a bootstrap rsquared test in R. I'm not very good with statistics so could someone please take a look at my below code and point me in the right direction with regards to how I can extract the p-values per sample (basically input a...

I've been trying to get the pvalue of my samples from a bootstrap rsquared test in R. I'm not very good with statistics so could someone please take a look at my below code and point me in the right direction with regards to how I can extract the p-values per sample (basically input a...

I've been trying to get the pvalue of my samples from a bootstrap rsquared test in R. I'm not very good with statistics so could someone please take a look at my below code and point me in the right direction with regards to how I can extract the p-values per sample? # Bootstrap 95% CI for...