BR112021021866A2 - Classifiers for the detection of endometriosis - Google Patents

Classifiers for the detection of endometriosis

Info

Publication number
BR112021021866A2
BR112021021866A2 BR112021021866A BR112021021866A BR112021021866A2 BR 112021021866 A2 BR112021021866 A2 BR 112021021866A2 BR 112021021866 A BR112021021866 A BR 112021021866A BR 112021021866 A BR112021021866 A BR 112021021866A BR 112021021866 A2 BR112021021866 A2 BR 112021021866A2
Authority
BR
Brazil
Prior art keywords
endometriosis
classifiers
detection
myrna
diagnose
Prior art date
Application number
BR112021021866A
Other languages
Portuguese (pt)
Inventor
Bowerman Heather
Taylor Hugh
Original Assignee
Dot Laboraties Inc
Univ Yale
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
Priority claimed from PCT/US2019/059006 external-priority patent/WO2020092672A2/en
Application filed by Dot Laboraties Inc, Univ Yale filed Critical Dot Laboraties Inc
Publication of BR112021021866A2 publication Critical patent/BR112021021866A2/en

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    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6809Methods for determination or identification of nucleic acids involving differential detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2193Validation; Performance evaluation; Active pattern learning techniques based on specific statistical tests
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/20Ensemble learning
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B25/00ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
    • G16B25/10Gene or protein expression profiling; Expression-ratio estimation or normalisation
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
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    • C12Q2600/112Disease subtyping, staging or classification
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    • C12Q2600/118Prognosis of disease development
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    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
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    • C12Q2600/00Oligonucleotides characterized by their use
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    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
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    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/16Primer sets for multiplex assays
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    • C12Q2600/00Oligonucleotides characterized by their use
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    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00Detection or diagnosis of diseases
    • G01N2800/36Gynecology or obstetrics
    • G01N2800/364Endometriosis, i.e. non-malignant disorder in which functioning endometrial tissue is present outside the uterine cavity
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24147Distances to closest patterns, e.g. nearest neighbour classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2415Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
    • G06F18/24155Bayesian classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/24323Tree-organised classifiers

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  • Wood Science & Technology (AREA)
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  • Evolutionary Computation (AREA)
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  • Bioinformatics & Computational Biology (AREA)
  • Microbiology (AREA)
  • General Physics & Mathematics (AREA)
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  • Public Health (AREA)
  • Databases & Information Systems (AREA)
  • Bioethics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

classificadores para a detecção de endometriose. são descritos aqui métodos aperfeiçoados para a detecção de endometriose. em geral os métodos incluem, mas não estão limitados a, a aplicação de algoritmo de aprendizado em máquina para níveis de mirna de maneira a detectar, prever, diagnosticar ou monitorar a presença ou ausência de endometriose.classifiers for the detection of endometriosis. Improved methods for detecting endometriosis are described herein. In general, methods include, but are not limited to, the application of a machine learning algorithm to myrna levels in order to detect, predict, diagnose or monitor the presence or absence of endometriosis.

BR112021021866A 2019-04-29 2020-04-28 Classifiers for the detection of endometriosis BR112021021866A2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962840300P 2019-04-29 2019-04-29
PCT/US2019/059006 WO2020092672A2 (en) 2018-10-31 2019-10-31 A quantitative algorithm for endometriosis
PCT/US2020/030284 WO2020223238A1 (en) 2019-04-29 2020-04-28 Classifiers for detection of endometriosis

Publications (1)

Publication Number Publication Date
BR112021021866A2 true BR112021021866A2 (en) 2021-12-21

Family

ID=73028712

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112021021866A BR112021021866A2 (en) 2019-04-29 2020-04-28 Classifiers for the detection of endometriosis

Country Status (8)

Country Link
EP (1) EP3963094A4 (en)
JP (1) JP2022530636A (en)
CN (1) CN114402083A (en)
AU (1) AU2020265577A1 (en)
BR (1) BR112021021866A2 (en)
CA (1) CA3134382A1 (en)
SG (1) SG11202111117WA (en)
WO (1) WO2020223238A1 (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3122905B1 (en) 2014-03-27 2020-09-09 Yale University Circulating micrornas as biomarkers for endometriosis
SG11201901834WA (en) 2016-08-30 2019-03-28 Univ Yale Micrornas as biomarkers for endometriosis

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB201403489D0 (en) * 2014-02-27 2014-04-16 Univ London Queen Mary Biomarkers for endometriosis
MX2020002216A (en) * 2017-08-30 2020-08-20 Dot Laboratories Inc Methods and compositions for detecting and treating endometriosis.
US20210404002A1 (en) * 2018-10-31 2021-12-30 Yale University Quantitative Algorithm for Endometriosis

Also Published As

Publication number Publication date
WO2020223238A1 (en) 2020-11-05
JP2022530636A (en) 2022-06-30
CN114402083A (en) 2022-04-26
EP3963094A1 (en) 2022-03-09
CA3134382A1 (en) 2020-11-05
EP3963094A4 (en) 2024-02-28
AU2020265577A1 (en) 2021-11-04
SG11202111117WA (en) 2021-11-29

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