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

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...

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.

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...

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.