1. A classification system for classifying biomolecular data, comprising a processing device configured to process measurement data; and a non-transitory carrier having stored thereon a set of computer instructions for causing the processing device to execute a computer program, the computer program comprising: a statistical module for receiving measurement data comprising measurements of a plurality of numerical features of a sample to be classified and a plurality of respective error estimates of respective ones of the plurality of numerical features, and for associating respective probability density functions with the respective ones of the plurality of numerical features, wherein the respective probability density functions depend on the respective error estimates of the respective numerical features; a replication module for producing a plurality of perturbed replicas of the sample, the perturbed replicas comprising perturbed features, wherein each of the plurality of perturbed features is produced by randomly perturbing the respective ones of the plurality of numerical features according to the corresponding respective probability density functions; a classifier for classifying respective ones of the plurality of perturbed replicas based on the perturbed features and by applying predetermined classification criteria to obtain classified replicas, wherein each classified replica has one class of a plurality of classes associated therewith; an analyzer for classifying the sample to be classified based on a statistical analysis of a plurality of the classified replicas to obtain a sample classification.