JP2022509589A - 機械学習技術を使用するナノ細孔シグナルの分析 - Google Patents

機械学習技術を使用するナノ細孔シグナルの分析 Download PDF

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JP2022509589A
JP2022509589A JP2021525061A JP2021525061A JP2022509589A JP 2022509589 A JP2022509589 A JP 2022509589A JP 2021525061 A JP2021525061 A JP 2021525061A JP 2021525061 A JP2021525061 A JP 2021525061A JP 2022509589 A JP2022509589 A JP 2022509589A
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マッシンガム，ティモシー，リー
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オックスフォード ナノポール テクノロジーズ ピーエルシー
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    • G06N3/0464—Convolutional networks [CNN, ConvNet]
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    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised 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
    • 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
    • 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
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • 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
    • G16B40/10—Signal processing, e.g. from mass spectrometry [MS] or from PCR
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    • C12Q2537/00—Reactions characterised by the reaction format or use of a specific feature
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    • C12Q2565/00—Nucleic acid analysis characterised by mode or means of detection
    • C12Q2565/60—Detection means characterised by use of a special device
    • C12Q2565/631—Detection means characterised by use of a special device being a biochannel or pore

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JP2021525061A 2018-11-28 2019-11-26 機械学習技術を使用するナノ細孔シグナルの分析 Pending JP2022509589A (ja)

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JP2023106581A JP2023126856A (ja) 2018-11-28 2023-06-29 機械学習技術を使用するナノ細孔シグナルの分析
JP2025139101A JP2025172079A (ja) 2018-11-28 2025-08-22 機械学習技術を使用するナノ細孔シグナルの分析

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GB1819378.9 2018-11-28
GBGB1819378.9A GB201819378D0 (en) 2018-11-28 2018-11-28 Analysis of nanopore signal using a machine-learning technique
PCT/GB2019/053334 WO2020109773A1 (en) 2018-11-28 2019-11-26 Analysis of nanopore signal using a machine-learning technique

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US (2) US12264360B2 (enExample)
EP (1) EP3887543B1 (enExample)
JP (3) JP2022509589A (enExample)
CN (1) CN113166804A (enExample)
AU (1) AU2019389841B2 (enExample)
BR (1) BR112021008198A2 (enExample)
CA (1) CA3118632A1 (enExample)
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JP2023126856A (ja) 2023-09-12
BR112021008198A2 (pt) 2021-08-03
CA3118632A1 (en) 2020-06-04
US20250197929A1 (en) 2025-06-19
AU2019389841A1 (en) 2021-05-20
JP2025172079A (ja) 2025-11-20
US12264360B2 (en) 2025-04-01
EP3887543B1 (en) 2024-08-28
EP3887543A1 (en) 2021-10-06
GB201819378D0 (en) 2019-01-09
AU2019389841B2 (en) 2026-05-07
US20200176082A1 (en) 2020-06-04
KR20210095641A (ko) 2021-08-02
WO2020109773A1 (en) 2020-06-04
CN113166804A (zh) 2021-07-23

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