1. MODELING: A linear n-compartment MAMMILLARY and/or CATENARY model can be formulated and fully quantified by tranformation from a known MULTIEXPONENTIAL MODEL (sum of n exponentials). Solutions are limited to models with both input and output in compartment 1, and n must be no greater than 10.
NOTE: A 2-step modeling process is assumed. The multiexponential model is typically obtained from kinetic time-series data using a data fitting program like DIMSUM+, another expert system available from the Biocybernetics Laboratory.
2. MODEL DISCRIMINATION/DISTINGUISHABILITY: An expert subsystem is included for determining whether a mammillary can be distiguished form a catenary linear compartmental model, each with n compartments, but input and output may be in any (same of different) compartments. We assume both can be fitted to a single output data set; the questions is whether the two different structures can be distinguished bia this data. The theory is fully developed pedagogically, along with specific solutions.
Principal Investigator: Joseph J. DiStefano III, Ph.D.
Professor of Computer Science and Medicine
University of California, Los Angeles
Professor DiStefano suggested this web based version of his biocybernetics lab's MAMCAT+ as a M.S.
project. During the whole process, Prof. DiStefano has been an invaluable source of knowledge as to
the functionality and usability of W3MAMCAT. His steadfastness for producing the most easily usable
application, while always keeping in mind the potential student user, has continually improved this
application since its conception.
Contributor: Kirk Bulis, MS
University of California, Los Angeles
This project was based in large part on the work of Kirk Bulis, and his Monte Carlo Simulator (W3MCSim).
A huge amount of thanks must be given to Kirk, for his guidance, vast knowledge and willingness to help at
every point in design of W3MAMCAT. Without his tireless help and dedication, the completion this project would
not of been possible.
Joseph J. DiStefano III
Professor of Computer Science, Medicine, and Biomedical Engineering
UCLA
4711 Boelter Hall
Los Angeles, CA 90095-1596
telephone: (310) 825-7482
fax: (310) 825-2273
email: joed@cs.ucla.edu
Solomon Russell
Graduate Student
UCLA, Computer Science Department
email: solomon@cs.ucla.edu
Chance Risner
Student
El Camino College, Computer Science Department
email: chance_risner@elcamino.edu
UCLA Biocybernetics Laboratory
web: http://www.biocyb.cs.ucla.edu