Andrew John Conway

US Patent:

6915282, Jul 5, 2005

Filed:

Feb 2, 2001

Appl. No.:

09/776244

Inventors:

Andrew Conway - Stanford CA, US
Peter Eastman - Belmont CA, US
Howard Snortland - Menlo Park CA, US
Barrett Eynon - Menlo Park CA, US

Assignee:

Agilent Technologies, Inc. - Palo Alto CA

International Classification:

G06N005/00

US Classification:

706 12, 707 6

Abstract:

The invention provides a method and system for performing data mining autonomously with regard to a set of data, and formulating hypotheses in response thereto. An autonomous software element (a) collects sets of data, along with collateral data, into a unified extensible database; (b) formulates possibly interesting hypotheses with regard to those data; (c) evaluates hypotheses, thus relating each hypothesis against a probability it could have occurred by chance; (d) rates each hypothesis in response to multiple factors; (e) reports those hypotheses to users, selecting those users who are most likely to be interested and who are most interested in being informed.

US Patent:

20050222779, Oct 6, 2005

Filed:

Mar 30, 2004

Appl. No.:

10/815102

Inventors:

Andrew Conway - Menlo Park CA, US

Assignee:

Silicon Genetics - Redwood City CA

International Classification:

G06F019/00
G01N033/48
G01N033/50

US Classification:

702020000

Abstract:

Techniques of using statistical analysis of genetic data to determine likely markers for a recessive genetic disease or trait. One embodiment of these techniques includes the steps of obtaining actual genotype data for one or more affected people with the genetic disease or trait in a population, obtaining estimated genotype data for the population, and analyzing the actual and estimated genotype data to find a region in genomes of the affected people that includes markers exhibiting particular homozygous pairs of alleles more frequently than would occur randomly.

US Patent:

20070031886, Feb 8, 2007

Filed:

Oct 13, 2006

Appl. No.:

11/581132

Inventors:

Andrew Conway - Menlo Park CA, US

International Classification:

C12Q 1/68
G06F 19/00

US Classification:

435006000, 702020000

Abstract:

Techniques of using statistical analysis of genetic data to determine likely markers for a recessive genetic disease or trait. One embodiment of these techniques includes the steps of obtaining actual genotype data for one or more affected people with the genetic disease or trait in a population, obtaining estimated genotype data for the population, and analyzing the actual and estimated genotype data to find a region in genomes of the affected people that includes markers exhibiting particular homozygous pairs of alleles more frequently than would occur randomly.