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MX2022009921A - Extracción de señales relevantes de conjuntos de datos dispersos. - Google Patents

Extracción de señales relevantes de conjuntos de datos dispersos.

Info

Publication number
MX2022009921A
MX2022009921A MX2022009921A MX2022009921A MX2022009921A MX 2022009921 A MX2022009921 A MX 2022009921A MX 2022009921 A MX2022009921 A MX 2022009921A MX 2022009921 A MX2022009921 A MX 2022009921A MX 2022009921 A MX2022009921 A MX 2022009921A
Authority
MX
Mexico
Prior art keywords
data sets
relevant signals
extraction
scattered data
present solution
Prior art date
Application number
MX2022009921A
Other languages
English (en)
Inventor
Rebecca E Taylor
Jennifer L Lapierre
Original Assignee
Quest Diagnostics Invest 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 Quest Diagnostics Invest Llc filed Critical Quest Diagnostics Invest Llc
Publication of MX2022009921A publication Critical patent/MX2022009921A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25—Integrating or interfacing systems involving database management systems
    • G06F16/254—Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
    • 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
    • G16B50/00—ICT programming tools or database systems specially adapted for bioinformatics
    • G16B50/10—Ontologies; Annotations
    • 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
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Genetics & Genomics (AREA)
  • Analytical Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Chemical & Material Sciences (AREA)
  • Molecular Biology (AREA)
  • Bioethics (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Automatic Analysis And Handling Materials Therefor (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

Los métodos comentados en el presente documento pueden extraer señales relevantes de conjuntos de datos dispersos, por ejemplo, en análisis criptográfico, reducción de ruido, reconocimiento de patrones, o genética computacional. La presente solución puede mejorar el rendimiento tecnológico de un dispositivo analítico tal como mediante la reducción de la carga del servidor, el tiempo de cómputo, y los tamaños de almacenamiento de datos. La presente solución puede identificar señales relevantes, tales como variantes genéticas con una alta probabilidad de patogenicidad, en grandes conjuntos de datos dispersos.
MX2022009921A 2020-02-13 2021-02-12 Extracción de señales relevantes de conjuntos de datos dispersos. MX2022009921A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202062976175P 2020-02-13 2020-02-13
PCT/US2021/017867 WO2021163491A1 (en) 2020-02-13 2021-02-12 Extraction of relevant signals from sparse data sets

Publications (1)

Publication Number Publication Date
MX2022009921A true MX2022009921A (es) 2022-10-27

Family

ID=77291754

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2022009921A MX2022009921A (es) 2020-02-13 2021-02-12 Extracción de señales relevantes de conjuntos de datos dispersos.

Country Status (7)

Country Link
US (2) US12393602B2 (es)
EP (1) EP4104108A4 (es)
CN (1) CN115968496A (es)
BR (1) BR112022015893A2 (es)
CA (1) CA3167609A1 (es)
MX (1) MX2022009921A (es)
WO (1) WO2021163491A1 (es)

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030009295A1 (en) 2001-03-14 2003-01-09 Victor Markowitz System and method for retrieving and using gene expression data from multiple sources
US8024128B2 (en) * 2004-09-07 2011-09-20 Gene Security Network, Inc. System and method for improving clinical decisions by aggregating, validating and analysing genetic and phenotypic data
US10777302B2 (en) * 2012-06-04 2020-09-15 23Andme, Inc. Identifying variants of interest by imputation
US10460830B2 (en) * 2013-08-22 2019-10-29 Genomoncology, Llc Computer-based systems and methods for analyzing genomes based on discrete data structures corresponding to genetic variants therein
WO2015171660A1 (en) 2014-05-05 2015-11-12 Board Of Regents, The University Of Texas System Variant annotation, analysis and selection tool
JP2019514143A (ja) 2016-03-21 2019-05-30 ヒューマン ロンジェヴィティ インコーポレイテッド ゲノミック、メタボロミック、及びマイクロバイオミック検索エンジン
US10445312B1 (en) * 2016-10-14 2019-10-15 Google Llc Systems and methods for extracting signal differences from sparse data sets
US10423861B2 (en) * 2017-10-16 2019-09-24 Illumina, Inc. Deep learning-based techniques for training deep convolutional neural networks
US20190228836A1 (en) * 2018-01-15 2019-07-25 SensOmics, Inc. Systems and methods for predicting genetic diseases
US11501186B2 (en) * 2019-02-27 2022-11-15 Accenture Global Solutions Limited Artificial intelligence (AI) based data processing

Also Published As

Publication number Publication date
BR112022015893A2 (pt) 2022-10-04
US20250348508A1 (en) 2025-11-13
CN115968496A (zh) 2023-04-14
WO2021163491A1 (en) 2021-08-19
CA3167609A1 (en) 2021-08-19
EP4104108A4 (en) 2024-03-06
US12393602B2 (en) 2025-08-19
US20230073952A1 (en) 2023-03-09
EP4104108A1 (en) 2022-12-21

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