MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectra (having similar m/z values ?within a given tolerance), and creates a single consensus spectrum as a representative. The input formats accepted are:
The first four chapters introduce the basic concepts and techniques in probability theory, including the calculus of probability, conditional probability, independence of events, Bayess Theorem, random variables, probability distributions, moments
