WO2003060652A3 - Method and apparatus for multifactor dimensionality reduction - Google Patents

Method and apparatus for multifactor dimensionality reduction Download PDF

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Publication number
WO2003060652A3
WO2003060652A3 PCT/US2003/001333 US0301333W WO03060652A3 WO 2003060652 A3 WO2003060652 A3 WO 2003060652A3 US 0301333 W US0301333 W US 0301333W WO 03060652 A3 WO03060652 A3 WO 03060652A3
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WO
WIPO (PCT)
Prior art keywords
value
observations
dependent variable
data set
independent variables
Prior art date
Application number
PCT/US2003/001333
Other languages
French (fr)
Other versions
WO2003060652A2 (en
Inventor
Lance W Hahn
Marylyn Ritchie
Jason H Moore
Original Assignee
Univ Vanderbilt
Lance W Hahn
Marylyn Ritchie
Jason H Moore
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Vanderbilt, Lance W Hahn, Marylyn Ritchie, Jason H Moore filed Critical Univ Vanderbilt
Priority to AU2003212806A priority Critical patent/AU2003212806A1/en
Publication of WO2003060652A2 publication Critical patent/WO2003060652A2/en
Publication of WO2003060652A3 publication Critical patent/WO2003060652A3/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Abstract

Multidimensional data is reduced by measuring n observations out of a first data set including discrete independent variables, such as genetic or environmental factors. A number of observations in which a dependent variable has a first value is determined, such as a disease-indicative value, and a number of observations in which the dependent variable has a second value, such as a disease-free value, is determined. Combinations are formed of the independent variables to produce a second data set. In each combination of independent variables, a ratio of the number of observations with the dependent variable having the first value to the number of observations with the dependent variable having the second value is determined. Each ratio is compared to one or more thresholds or ranges of thresholds to determine which combination of independent variables optimally discriminates observations with the dependent variable having the first value and observations with the dependent variable having the second value. Those combinations having ratios at the approximately the same threshold or within the same range of thresholds are pooled together to produce a third data set having a smaller number of independent variable combinations than the second data set.
PCT/US2003/001333 2002-01-15 2003-01-15 Method and apparatus for multifactor dimensionality reduction WO2003060652A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU2003212806A AU2003212806A1 (en) 2002-01-15 2003-01-15 Method and apparatus for multifactor dimensionality reduction

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US34931702P 2002-01-15 2002-01-15
US60/349,317 2002-01-15

Publications (2)

Publication Number Publication Date
WO2003060652A2 WO2003060652A2 (en) 2003-07-24
WO2003060652A3 true WO2003060652A3 (en) 2004-02-05

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2003/001333 WO2003060652A2 (en) 2002-01-15 2003-01-15 Method and apparatus for multifactor dimensionality reduction

Country Status (2)

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AU (1) AU2003212806A1 (en)
WO (1) WO2003060652A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9170992B2 (en) 2007-03-16 2015-10-27 Expanse Bioinformatics, Inc. Treatment determination and impact analysis

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7127355B2 (en) * 2004-03-05 2006-10-24 Perlegen Sciences, Inc. Methods for genetic analysis
CN101145030B (en) * 2006-09-13 2011-01-12 新鼎系统股份有限公司 Method and system for increasing variable amount, obtaining rest variable, dimensionality appreciation and variable screening
US20090043752A1 (en) 2007-08-08 2009-02-12 Expanse Networks, Inc. Predicting Side Effect Attributes
US8255403B2 (en) 2008-12-30 2012-08-28 Expanse Networks, Inc. Pangenetic web satisfaction prediction system
US8386519B2 (en) 2008-12-30 2013-02-26 Expanse Networks, Inc. Pangenetic web item recommendation system
US8108406B2 (en) 2008-12-30 2012-01-31 Expanse Networks, Inc. Pangenetic web user behavior prediction system
EP3276526A1 (en) 2008-12-31 2018-01-31 23Andme, Inc. Finding relatives in a database

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020133299A1 (en) * 2000-09-20 2002-09-19 Jacob Howard J. Physiological profiling

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020133299A1 (en) * 2000-09-20 2002-09-19 Jacob Howard J. Physiological profiling

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9170992B2 (en) 2007-03-16 2015-10-27 Expanse Bioinformatics, Inc. Treatment determination and impact analysis
US9582647B2 (en) 2007-03-16 2017-02-28 Expanse Bioinformatics, Inc. Attribute combination discovery for predisposition determination

Also Published As

Publication number Publication date
AU2003212806A8 (en) 2003-07-30
AU2003212806A1 (en) 2003-07-30
WO2003060652A2 (en) 2003-07-24

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