METHOD FOR GENE MAPPING FROM CHROMOSOME AND PHENOTYPE DATA

Patent №

US 6,909,971

Granted

2005-06-21

Filed 2001

Owner

LICENTIA OY

Lab

AI components

2

ml · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09875935

The present invention relates to a method for gene mapping from chromosome and phenotype data, which utilizes linkage disequilibrium between genetic markers mi, which are polymorphic nucleic acid or protein sequences or strings of single-nucleotide polymorphisms deriving from a chromosomal region. All marker patterns P that satisfy a certain pattern evaluation function e(P) are searched from the data, each marker mi of the data is scored by a marker score and the location of the gene is predicted as a function of the scores s(mi) of all the markers mi in the data.

Machine learningVisionG16B 40/00G16B 20/20G16B 20/00Y10S 707/99943

AI classification

Machine learning1.00
Vision0.89
AI hardware0.38
Evolutionary computation0.23
Knowledge representation0.02
Planning0.02
Natural language0.01
Speech0.00

Ownership

LICENTIA OY

assignment · 123600039

Assignors

TOIVONEN, HANNU T.T., ONKAMO, PAIVI, VASKO, KARI, OLLIKAINEN, VESA, SEVON, PETTERI, MANNILA, HEIKKI, KERE, JUHA

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

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