WO2007145789A3 - Method and implementation of reliable consensus feature selection in biomedical discovery - Google Patents

Method and implementation of reliable consensus feature selection in biomedical discovery Download PDF

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Publication number
WO2007145789A3
WO2007145789A3 PCT/US2007/012231 US2007012231W WO2007145789A3 WO 2007145789 A3 WO2007145789 A3 WO 2007145789A3 US 2007012231 W US2007012231 W US 2007012231W WO 2007145789 A3 WO2007145789 A3 WO 2007145789A3
Authority
WO
WIPO (PCT)
Prior art keywords
implementation
feature selection
consensus feature
reliable consensus
biomedical discovery
Prior art date
Application number
PCT/US2007/012231
Other languages
French (fr)
Other versions
WO2007145789A2 (en
Inventor
John Zhang
Jun Luo
An C Carlson
Eric Wang
Original Assignee
John Zhang
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 John Zhang filed Critical John Zhang
Publication of WO2007145789A2 publication Critical patent/WO2007145789A2/en
Publication of WO2007145789A3 publication Critical patent/WO2007145789A3/en

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Classifications

    • 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
    • G16B25/00—ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/211—Selection of the most significant subset of features
    • 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
    • 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
    • G16B40/20—Supervised data analysis

Abstract

Process and apparatus for combining multiple processes for choosing features such as biomarkers in statistical data using consensus voting among the multiple processes and their chosen features.
PCT/US2007/012231 2006-05-18 2007-05-17 Method and implementation of reliable consensus feature selection in biomedical discovery WO2007145789A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US80134806P 2006-05-18 2006-05-18
US60/801,348 2006-05-18

Publications (2)

Publication Number Publication Date
WO2007145789A2 WO2007145789A2 (en) 2007-12-21
WO2007145789A3 true WO2007145789A3 (en) 2008-08-28

Family

ID=38832272

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/012231 WO2007145789A2 (en) 2006-05-18 2007-05-17 Method and implementation of reliable consensus feature selection in biomedical discovery

Country Status (1)

Country Link
WO (1) WO2007145789A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107798217A (en) * 2017-10-18 2018-03-13 大连理工大学 The data analysing method of the linear relationship of feature based pair

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012107786A1 (en) 2011-02-09 2012-08-16 Rudjer Boskovic Institute System and method for blind extraction of features from measurement data
US10394828B1 (en) 2014-04-25 2019-08-27 Emory University Methods, systems and computer readable storage media for generating quantifiable genomic information and results

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BING LIU ET AL.: "A combinatorial feature selection and ensemble neural network method for classification of gene expression data", BMC BIOINFORMATICS, 2004, XP009059421 *
HAN YU CHUANG ET AL.: "Identifying Significant Genes from Microarray Data", BIBE'04, XP010711141 *
KEE JONG ET AL.: "Ensemble Feature Ranking", 2004 *
TSYMBAL A., PUURONEN S., SKRYPNYK I.: "Ensemble Feature Selection with Dynamic Integration of Classifiers", 2001 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107798217A (en) * 2017-10-18 2018-03-13 大连理工大学 The data analysing method of the linear relationship of feature based pair
CN107798217B (en) * 2017-10-18 2020-04-28 大连理工大学 Data analysis method based on linear relation of feature pairs

Also Published As

Publication number Publication date
WO2007145789A2 (en) 2007-12-21

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