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

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.

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...

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

Positive Matrix Factorisation (PMF) is a statistical factor analysis method, based on the law of mass conservation. By analysing measured concentrations at a series of measurement locations, the method first identifies a set of factors which can b...

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