AU1350501A - Methods and devices for identifying patterns in biological systems and methods for uses thereof - Google Patents
Methods and devices for identifying patterns in biological systems and methods for uses thereofInfo
- Publication number
- AU1350501A AU1350501A AU13505/01A AU1350501A AU1350501A AU 1350501 A AU1350501 A AU 1350501A AU 13505/01 A AU13505/01 A AU 13505/01A AU 1350501 A AU1350501 A AU 1350501A AU 1350501 A AU1350501 A AU 1350501A
- Authority
- AU
- Australia
- Prior art keywords
- methods
- devices
- biological systems
- identifying patterns
- patterns
- Prior art date
- Legal status (The legal status 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 status listed.)
- Abandoned
Links
Classifications
-
- 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
-
- 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
-
- 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)
Applications Claiming Priority (17)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16180699P | 1999-10-27 | 1999-10-27 | |
US60161806 | 1999-10-27 | ||
US16870399P | 1999-12-02 | 1999-12-02 | |
US60168703 | 1999-12-02 | ||
US18459600P | 2000-02-24 | 2000-02-24 | |
US60184596 | 2000-02-24 | ||
US19121900P | 2000-03-22 | 2000-03-22 | |
US60191219 | 2000-03-22 | ||
US09/568,301 US6427141B1 (en) | 1998-05-01 | 2000-05-09 | Enhancing knowledge discovery using multiple support vector machines |
US09568301 | 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 |
US09578011 | 2000-05-24 | ||
US20702600P | 2000-05-25 | 2000-05-25 | |
US60207026 | 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 |
US09633850 | 2000-08-07 | ||
PCT/US2000/029712 WO2001031579A2 (en) | 1999-10-27 | 2000-10-27 | Methods and devices for identifying patterns in biological patterns |
Publications (1)
Publication Number | Publication Date |
---|---|
AU1350501A true AU1350501A (en) | 2001-05-08 |
Family
ID=27575021
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
AU13505/01A Abandoned AU1350501A (en) | 1999-10-27 | 2000-10-27 | Methods and devices for identifying patterns in biological systems and methods for uses thereof |
Country Status (2)
Country | Link |
---|---|
AU (1) | AU1350501A (en) |
WO (1) | WO2001031579A2 (en) |
Families Citing this family (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
ATE406627T1 (en) | 2000-06-19 | 2008-09-15 | Correlogic Systems Inc | HEURISTIC CLASSIFICATION METHOD |
AU2001280581A1 (en) | 2000-07-18 | 2002-01-30 | Correlogic Systems, Inc. | A process for discriminating between biological states based on hidden patterns from biological data |
CN1262337C (en) | 2000-11-16 | 2006-07-05 | 赛弗根生物系统股份有限公司 | Method for analyzing mass spectra |
WO2003015001A2 (en) * | 2001-08-03 | 2003-02-20 | Synt:Em S.A. | Method for identification of protein function |
EP1449108A4 (en) * | 2001-11-07 | 2006-11-22 | Health Discovery Corp | Pre-processed feature ranking for a support vector machine |
JP3896868B2 (en) | 2002-02-27 | 2007-03-22 | 日本電気株式会社 | Pattern feature selection method, classification method, determination method, program, and apparatus |
US7395160B2 (en) | 2002-07-29 | 2008-07-01 | Correlogic Systems, Inc. | Quality assurance/quality control for electrospray ionization processes |
WO2004061410A2 (en) | 2002-12-18 | 2004-07-22 | Ciphergen Biosystems, Inc. | Serum biomarkers in lung cancer |
US7072772B2 (en) | 2003-06-12 | 2006-07-04 | Predicant Bioscience, Inc. | Method and apparatus for modeling mass spectrometer lineshapes |
WO2005060608A2 (en) | 2003-12-11 | 2005-07-07 | Correlogic Systems, Inc. | Method of diagnosing biological states through the use of a centralized, adaptive model, and remote sample processing |
CN101855553B (en) | 2007-06-29 | 2014-06-11 | 韩国安国药品株式会社 | Predictive markers for ovarian cancer |
CN101981446B (en) * | 2008-02-08 | 2016-03-09 | 医疗探索公司 | For the method and system using support vector machine to analyze flow cytometry data |
WO2010077722A1 (en) | 2008-12-30 | 2010-07-08 | Centocor Ortho Biotech Inc. | Serum markers predicting clinical response to anti-tnf 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 |
US10776760B2 (en) | 2017-11-17 | 2020-09-15 | The Boeing Company | Machine learning based repair forecasting |
CN109460420A (en) * | 2018-09-28 | 2019-03-12 | 北京赛博贝斯数据科技有限责任公司 | The Knowledge Discovery Method and system of structural data |
CN111612231B (en) * | 2020-05-13 | 2023-09-01 | 云南电网有限责任公司电力科学研究院 | Distribution network line re-jump model fusion processing method and device |
US11958632B2 (en) * | 2020-07-22 | 2024-04-16 | The Boeing Company | Predictive maintenance model design system |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO1999022019A1 (en) * | 1997-10-29 | 1999-05-06 | Rutgers, The State University Of New Jersey | Linking gene sequence to gene function by three-dimensional (3d) protein structure determination |
US7321828B2 (en) * | 1998-04-13 | 2008-01-22 | Isis Pharmaceuticals, Inc. | System of components for preparing oligonucleotides |
WO1999057622A2 (en) * | 1998-05-01 | 1999-11-11 | Barnhill Technologies, Llc | Pre-processing and post-processing for enhancing knowledge discovery using support vector machines |
-
2000
- 2000-10-27 AU AU13505/01A patent/AU1350501A/en not_active Abandoned
- 2000-10-27 WO PCT/US2000/029712 patent/WO2001031579A2/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
WO2001031579A2 (en) | 2001-05-03 |
WO2001031579A3 (en) | 2002-07-11 |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
MK6 | Application lapsed section 142(2)(f)/reg. 8.3(3) - pct applic. not entering national phase |