AUTOMATED METHODS FOR SIMULATING A BIOLOGICAL NETWORK

Patent №

US 7,319,945

Granted

2008-01-15

Filed 2001

Owner

CALIFORNIA INSTITUTE OF TECHNOLOGY

Lab

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09993291

The present invention relates to methods, computer systems, and computer programs for simulating a biological network. The methods of the present invention facilitate biological network simulations via automated equation generation based on the concept of a hierarchy of canonical forms that describe biological processes at various levels of detail. At each level of hierarchy two classes of canonical forms can be identified: the input canonical form, that is used to supply information to the program, and the output canonical form that is produced by a simulator. The methods in certain preferred embodiments include explicit output description and flexible user intervention at several steps through the model generation. Furthermore, preferred embodiments of the present invention provide the modeling of developmental networks using an organism-as-a-graph approach using domains and fields.

AI classification

Planning1.00
Knowledge representation1.00
Machine learning1.00
AI hardware1.00
Evolutionary computation0.99
Natural language0.95
Vision0.02
Speech0.00

Ownership

CALIFORNIA INSTITUTE OF TECHNOLOGY

assignment · 128370780

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