WO2001031579A3 - Procedes et dispositifs permettant d'identifier des motifs dans des systemes biologiques et procedes d'utilisation correspondants - Google Patents
Procedes et dispositifs permettant d'identifier des motifs dans des systemes biologiques et procedes d'utilisation correspondants Download PDFInfo
- Publication number
- WO2001031579A3 WO2001031579A3 PCT/US2000/029712 US0029712W WO0131579A3 WO 2001031579 A3 WO2001031579 A3 WO 2001031579A3 US 0029712 W US0029712 W US 0029712W WO 0131579 A3 WO0131579 A3 WO 0131579A3
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- patterns
- methods
- devices
- biological
- identifying
- Prior art date
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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- 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
- G06F18/2115—Selection of the most significant subset of features by evaluating different subsets according to an optimisation criterion, e.g. class separability, forward selection or backward elimination
-
- 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
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- 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
- G16B25/10—Gene or protein expression profiling; Expression-ratio estimation or normalisation
-
- 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
-
- 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
- G16B40/30—Unsupervised data analysis
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
-
- 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
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Epidemiology (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Databases & Information Systems (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Biotechnology (AREA)
- Biophysics (AREA)
- Bioethics (AREA)
- Software Systems (AREA)
- Primary Health Care (AREA)
- Genetics & Genomics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU13505/01A AU1350501A (en) | 1999-10-27 | 2000-10-27 | Methods and devices for identifying patterns in biological systems and methods for uses thereof |
Applications Claiming Priority (16)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16180699P | 1999-10-27 | 1999-10-27 | |
US60/161,806 | 1999-10-27 | ||
US16870399P | 1999-12-02 | 1999-12-02 | |
US60/168,703 | 1999-12-02 | ||
US18459600P | 2000-02-24 | 2000-02-24 | |
US60/184,596 | 2000-02-24 | ||
US19121900P | 2000-03-22 | 2000-03-22 | |
US60/191,219 | 2000-03-22 | ||
US09/568,301 US6427141B1 (en) | 1998-05-01 | 2000-05-09 | Enhancing knowledge discovery using multiple support vector machines |
US09/568,301 | 2000-05-09 | ||
US09/578,011 US6658395B1 (en) | 1998-05-01 | 2000-05-24 | Enhancing knowledge discovery from multiple data sets using multiple support vector machines |
US09/578,011 | 2000-05-24 | ||
US20702600P | 2000-05-25 | 2000-05-25 | |
US60/207,026 | 2000-05-25 | ||
US09/633,850 US6789069B1 (en) | 1998-05-01 | 2000-08-07 | Method for enhancing knowledge discovered from biological data using a learning machine |
US09/633,850 | 2000-08-07 |
Publications (2)
Publication Number | Publication Date |
---|---|
WO2001031579A2 WO2001031579A2 (fr) | 2001-05-03 |
WO2001031579A3 true WO2001031579A3 (fr) | 2002-07-11 |
Family
ID=27575021
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2000/029712 WO2001031579A2 (fr) | 1999-10-27 | 2000-10-27 | Procedes et dispositifs permettant d'identifier des motifs dans des systemes biologiques et procedes d'utilisation correspondants |
Country Status (2)
Country | Link |
---|---|
AU (1) | AU1350501A (fr) |
WO (1) | WO2001031579A2 (fr) |
Families Citing this family (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2003040949A1 (fr) * | 2001-11-07 | 2003-05-15 | Biowulf Technologies, Llc | Classement de caracteristiques pretraitees pour une machine a vecteur de support |
KR20030051435A (ko) | 2000-06-19 | 2003-06-25 | 코렐로직 시스템즈, 인크. | 분류화의 발견적 방법 |
BR0112667A (pt) | 2000-07-18 | 2006-05-09 | Correlogic Systems Inc | processo de distinção entre estados biológicos baseados em padrões ocultos de dados biológicos |
CA2429327A1 (fr) | 2000-11-16 | 2003-04-17 | Ciphergen Biosystems, Inc. | Procede d'analyse de spectres de masse |
WO2003015001A2 (fr) * | 2001-08-03 | 2003-02-20 | Synt:Em S.A. | Méthode d'identification de la fonction protéique |
JP3896868B2 (ja) | 2002-02-27 | 2007-03-22 | 日本電気株式会社 | パターンの特徴選択方法及び分類方法及び判定方法及びプログラム並びに装置 |
US7395160B2 (en) | 2002-07-29 | 2008-07-01 | Correlogic Systems, Inc. | Quality assurance/quality control for electrospray ionization processes |
EP1573044A4 (fr) | 2002-12-18 | 2006-07-05 | Ciphergen Biosystems Inc | Biomarqueurs seriques du cancer du poumon |
US7072772B2 (en) | 2003-06-12 | 2006-07-04 | Predicant Bioscience, Inc. | Method and apparatus for modeling mass spectrometer lineshapes |
US7761239B2 (en) | 2003-12-11 | 2010-07-20 | Correlogic Systems, Inc. | Method of diagnosing biological states through the use of a centralized, adaptive model, and remote sample processing |
CN101855553B (zh) | 2007-06-29 | 2014-06-11 | 韩国安国药品株式会社 | 卵巢癌的预测标记 |
AU2009212193B2 (en) * | 2008-02-08 | 2015-08-27 | Health Discovery Corporation | Method and system for analysis of flow cytometry data using support vector machines |
US20110251099A1 (en) | 2008-12-30 | 2011-10-13 | Sudha Visvanathan | SERUM MARKERS PREDICTING CLINICAL RESPONSE TO ANTI-TNFa ANTIBODIES IN PATIENTS WITH ANKYLOSING SPONDYLITIS |
US8972899B2 (en) | 2009-02-10 | 2015-03-03 | Ayasdi, Inc. | Systems and methods for visualization of data analysis |
US8738303B2 (en) | 2011-05-02 | 2014-05-27 | Azure Vault Ltd. | Identifying outliers among chemical assays |
US8660968B2 (en) | 2011-05-25 | 2014-02-25 | Azure Vault Ltd. | Remote chemical assay classification |
US10288626B2 (en) | 2012-09-14 | 2019-05-14 | University Of Kentucky Research Foundation | Secreted tumor-associated cytochrome as a blood-based biomarker for cancer |
CN109460420A (zh) * | 2018-09-28 | 2019-03-12 | 北京赛博贝斯数据科技有限责任公司 | 结构化数据的知识挖掘方法及系统 |
CN111612231B (zh) * | 2020-05-13 | 2023-09-01 | 云南电网有限责任公司电力科学研究院 | 一种配网线路重跳模型融合处理方法及装置 |
US11958632B2 (en) * | 2020-07-22 | 2024-04-16 | The Boeing Company | Predictive maintenance model design system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1999022019A1 (fr) * | 1997-10-29 | 1999-05-06 | Rutgers, The State University Of New Jersey | Etablissement d'un lien entre une sequence genique et une fonction genique par determination de la structure proteique tridimensionnelle |
WO1999053101A1 (fr) * | 1998-04-13 | 1999-10-21 | Isis Pharmaceuticals, Inc. | Identification de cibles genetiques destinees a etre modulees par des oligonucleotides et formation d'oligonucleotides destines a subir une modulation genique |
WO1999057622A2 (fr) * | 1998-05-01 | 1999-11-11 | Barnhill Technologies, Llc | Pre-traitement et post-traitement permettant d'ameliorer la decouverte de connaissances au moyen de machines a vecteurs de soutien |
-
2000
- 2000-10-27 AU AU13505/01A patent/AU1350501A/en not_active Abandoned
- 2000-10-27 WO PCT/US2000/029712 patent/WO2001031579A2/fr active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1999022019A1 (fr) * | 1997-10-29 | 1999-05-06 | Rutgers, The State University Of New Jersey | Etablissement d'un lien entre une sequence genique et une fonction genique par determination de la structure proteique tridimensionnelle |
WO1999053101A1 (fr) * | 1998-04-13 | 1999-10-21 | Isis Pharmaceuticals, Inc. | Identification de cibles genetiques destinees a etre modulees par des oligonucleotides et formation d'oligonucleotides destines a subir une modulation genique |
WO1999057622A2 (fr) * | 1998-05-01 | 1999-11-11 | Barnhill Technologies, Llc | Pre-traitement et post-traitement permettant d'ameliorer la decouverte de connaissances au moyen de machines a vecteurs de soutien |
Non-Patent Citations (3)
Title |
---|
AMARI S ET AL: "Improving support vector machine classifiers by modifying kernel functions", NEURAL NETWORKS, ELSEVIER SCIENCE PUBLISHERS, BARKING, GB, vol. 12, no. 6, July 1999 (1999-07-01), pages 783 - 789, XP004174075, ISSN: 0893-6080 * |
MORIK K ET AL: "COMBINING STATISTICAL LEARNING WITH A KNOWLEDGE-BASED APPROACH -A CASE STUDY IN INTENSIVE CARE MONITORING", MACHINE LEARNING. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE, XX, XX, 27 June 1999 (1999-06-27), pages 268 - 277, XP001030158 * |
SUGAYA S ET AL: "Support vector machines for knowledge discovery", PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY. THIRD EUROPEAN CONFERENCE, PKDD'99. PROCEEDINGS. (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE VOL.1704), PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY. THIRD EUROPEAN CONFERENCE, PKDD'99, PRAGUE, CZ, 1999, Berlin, Germany, Springer-Verlag, Germany, pages 561 - 567, XP001030152, ISBN: 3-540-66490-4 * |
Also Published As
Publication number | Publication date |
---|---|
AU1350501A (en) | 2001-05-08 |
WO2001031579A2 (fr) | 2001-05-03 |
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