WO2021030193A1 - Système et procédé de classification de données génomiques - Google Patents

Système et procédé de classification de données génomiques Download PDF

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Publication number
WO2021030193A1
WO2021030193A1 PCT/US2020/045421 US2020045421W WO2021030193A1 WO 2021030193 A1 WO2021030193 A1 WO 2021030193A1 US 2020045421 W US2020045421 W US 2020045421W WO 2021030193 A1 WO2021030193 A1 WO 2021030193A1
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WO
WIPO (PCT)
Prior art keywords
data
model
biological
dataspace
models
Prior art date
Application number
PCT/US2020/045421
Other languages
English (en)
Inventor
Yulia NEWTON
Original Assignee
Nantomics, Llc
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 Nantomics, Llc filed Critical Nantomics, Llc
Publication of WO2021030193A1 publication Critical patent/WO2021030193A1/fr

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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
    • G16H50/20—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
    • 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
    • G16B15/00—ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
    • 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
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • 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

L'invention concerne un système et un procédé de prédiction de l'origine d'un échantillon de tissu néoplasique d'un patient pour aider au traitement du patient en informant précisément un professionnel médical de l'origine du tissu de telle sorte qu'un traitement approprié peut être proposé au patient. Le procédé comprend généralement la préparation d'un profil de données biologiques de l'échantillon de tissu néoplasique et la comparaison de celui-ci avec des modèles dans un modèle d'espace de données de modèle pour déterminer le meilleur ajustement d'un modèle avec le profil de données biologiques.
PCT/US2020/045421 2019-08-13 2020-08-07 Système et procédé de classification de données génomiques WO2021030193A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962885996P 2019-08-13 2019-08-13
US62/885,996 2019-08-13

Publications (1)

Publication Number Publication Date
WO2021030193A1 true WO2021030193A1 (fr) 2021-02-18

Family

ID=74569802

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2020/045421 WO2021030193A1 (fr) 2019-08-13 2020-08-07 Système et procédé de classification de données génomiques

Country Status (1)

Country Link
WO (1) WO2021030193A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116386043A (zh) * 2023-03-27 2023-07-04 北京市神经外科研究所 一种脑神经医疗影像胶质瘤区域快速标记方法及系统

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170051281A1 (en) * 2014-02-19 2017-02-23 The Trustees Of Columbia University In The City Of New York Method and composition for diagnosis or treatment of aggressive prostate cancer
WO2019018374A1 (fr) * 2017-07-17 2019-01-24 University Of Pittsburgh-Of The Commonwealth System Of Higher Education Test de diagnostic et de pronostic pour de multiples types de cancer sur la base d'un profilage de transcrits
US10340031B2 (en) * 2017-06-13 2019-07-02 Bostongene Corporation Systems and methods for identifying cancer treatments from normalized biomarker scores

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170051281A1 (en) * 2014-02-19 2017-02-23 The Trustees Of Columbia University In The City Of New York Method and composition for diagnosis or treatment of aggressive prostate cancer
US10340031B2 (en) * 2017-06-13 2019-07-02 Bostongene Corporation Systems and methods for identifying cancer treatments from normalized biomarker scores
WO2019018374A1 (fr) * 2017-07-17 2019-01-24 University Of Pittsburgh-Of The Commonwealth System Of Higher Education Test de diagnostic et de pronostic pour de multiples types de cancer sur la base d'un profilage de transcrits

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JOAO C. GUIMARAES, MIHAELA ZAVOLAN: "Patterns of ribosomal protein expression specify normal and malignant human cells", GENOME BIOLOGY, vol. 17, no. 1, 1 December 2016 (2016-12-01), XP055566778, DOI: 10.1186/s13059-016-1104-z *
RAM AJORE, DAVID RAISER, MARIE MCCONKEY, MAGNUS JÖUD, BERND BOIDOL, BRENTON MAR, GORDON SAKSENA, DAVID M WEINSTOCK, SCOTT ARMSTRON: "Deletion of ribosomal protein genes is a common vulnerability in human cancer, especially in concert with TP53 mutations", EMBO MOLECULAR MEDICINE (ONLINE), WILEY - V C H VERLAG GMBH & CO. KGAA, DE, vol. 9, no. 4, 1 April 2017 (2017-04-01), DE, pages 498 - 507, XP055566779, ISSN: 1757-4684, DOI: 10.15252/emmm.201606660 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116386043A (zh) * 2023-03-27 2023-07-04 北京市神经外科研究所 一种脑神经医疗影像胶质瘤区域快速标记方法及系统

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