METHODS AND SYSTEMS FOR GENE EXPRESSION ARRAY ANALYSIS

Patent №

US 6,996,476

Granted

2006-02-07

Filed 2004

Owner

THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10812726

Disclosed are methods and systems for applying independent component analysis (ICA) and other advanced signal processing techniques to automatically identify an optimal number of independent gene clusters and to efficiently separate gene expression data into biologically relevant groups. Embodiments of the methods and systems of the present invention provide an interface that allows the user to review the results at various stages during the analysis, thereby optimizing the type of analysis performed for a specific experiment. Also disclosed are methods and systems to mathematically define the relationship for gene expression within a group of interrelated genes.

Machine learningG16B 25/10G16B 25/00G16B 40/10G16B 40/00

AI classification

Machine learning0.91
Evolutionary computation0.13
Planning0.08
AI hardware0.02
Vision0.00
Knowledge representation0.00
Speech0.00
Natural language0.00

Ownership

THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE

assignment · 166360080

Assignors

NAJARIAN, KAYVAN

On an employer assignment, the assignors are typically the inventors.

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