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Joseph J Distefano

Publications and source records attributed to Joseph J Distefano.

2 recordsLinked to original sources

W3MAMCAT: a world wide web based tool for mammillary and catenary compartmental modeling and expert system distinguishability.

W(3)MAMCAT is a new web-based and interactive system for building and quantifying the parameters or parameter ranges of n-compartment mammillary and catenary model structures, with input and output in the first compartment, from unstructured multiexponential (sum-of-n-exponentials) models. It handles unidentifiable as well as identifiable models and, as such, provides finite parameter interval solutions for unidentifiable models, whereas direct parameter search programs typically do not. It also tutorially develops the theory of model distinguishability for same order mammillary versus catenary models, as did its desktop application predecessor MAMCAT+. This includes expert system analysis for distinguishing mammillary from catenary structures, given input and output in similarly numbered compartments. W(3)MAMCAT provides for universal deployment via the internet and enhanced application error checking. It uses supported Microsoft technologies to form an extensible application framework for maintaining a stable and easily updatable application. Most important, anybody, anywhere, is welcome to access it using Internet Explorer 6.0 over the internet for their teaching or research needs. It is available on the Biocybernetics Laboratory website at UCLA: www.biocyb.cs.ucla.edu.

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Automated expert multiexponential biomodeling interactively over the Internet.

DIMSUM, an acronym for DIMension of a SUM of exponentials, is a highly automated expert system for fitting multiexponential models of increasing dimension to time series data. Up to now, a researcher has needed an individual copy of DIMSUM on his or her own computer as well as support to learn how to use it. W3DIMSUM, a new implementation of DIMSUM, is web-based, new territory for interactive biomodeling, allowing interactive multiexponential model building and model discrimination over the Internet. The algorithms used are numerically intensive, so we have implemented a distributed system, with numerical processing done on our server. Only the user interface is run on the client machine, but users can load and save data and results on their machines, facilitated by our use of Java WebStart.

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