This machine learning technique is a new form of PCA that allows for determination of the set of variables that best explain two groups.https://arxiv.org/abs/1709.06716

Nonlinear regression ids in common use

I was hoping to use your program to reproduce figures like these that were original produced by http://www.biosoft.hacettepe.edu.tr/easyROC/ using data like the .txt files provided. Also need to provide parametric (curved) option. If one already e...

important to know how many subjects are at risk at each major time interval. I have to look this up in the table and add it manually for each group being analyzed.

Number at risk is calculated in the table generated in the Kaplan-Meier analysis. Put the number at risk below the chart at the selected time intervals

The Tanimoto coefficient is the most widely used similarity metric in cheminformatics.

Looking for a functions that performs Tukey's transformation (as it does in r but for larger than 5000 data sets) to identify the best transformation to normalize data for parametric analyses. This would eliminate the guesswork and save everyone t...