SG11201911805VA - Deep learning-based variant classifier - Google Patents
Deep learning-based variant classifierInfo
- Publication number
- SG11201911805VA SG11201911805VA SG11201911805VA SG11201911805VA SG11201911805VA SG 11201911805V A SG11201911805V A SG 11201911805VA SG 11201911805V A SG11201911805V A SG 11201911805VA SG 11201911805V A SG11201911805V A SG 11201911805VA SG 11201911805V A SG11201911805V A SG 11201911805VA
- Authority
- SG
- Singapore
- Prior art keywords
- deep learning
- based variant
- variant classifier
- classifier
- learning
- Prior art date
Links
- 238000013135 deep learning Methods 0.000 title 1
Classifications
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- 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
- 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
- G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/30—Arrangements for executing machine instructions, e.g. instruction decode
- G06F9/38—Concurrent instruction execution, e.g. pipeline, look ahead
- G06F9/3877—Concurrent instruction execution, e.g. pipeline, look ahead using a slave processor, e.g. coprocessor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- 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
- 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
- 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
- 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
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862617552P | 2018-01-15 | 2018-01-15 | |
PCT/US2019/013534 WO2019140402A1 (en) | 2018-01-15 | 2019-01-14 | Deep learning-based variant classifier |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201911805VA true SG11201911805VA (en) | 2020-01-30 |
Family
ID=65279694
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201911805VA SG11201911805VA (en) | 2018-01-15 | 2019-01-14 | Deep learning-based variant classifier |
Country Status (11)
Country | Link |
---|---|
US (2) | US11705219B2 (en) |
EP (2) | EP3619653B1 (en) |
JP (3) | JP6862581B2 (en) |
KR (2) | KR102273717B1 (en) |
CN (1) | CN110832510A (en) |
AU (3) | AU2019206709B2 (en) |
CA (1) | CA3065939A1 (en) |
IL (2) | IL283427B2 (en) |
NZ (1) | NZ759659A (en) |
SG (1) | SG11201911805VA (en) |
WO (1) | WO2019140402A1 (en) |
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2019
- 2019-01-14 CN CN201980003259.2A patent/CN110832510A/en active Pending
- 2019-01-14 WO PCT/US2019/013534 patent/WO2019140402A1/en active Search and Examination
- 2019-01-14 KR KR1020197038077A patent/KR102273717B1/en active IP Right Grant
- 2019-01-14 AU AU2019206709A patent/AU2019206709B2/en active Active
- 2019-01-14 US US16/247,487 patent/US11705219B2/en active Active
- 2019-01-14 IL IL283427A patent/IL283427B2/en unknown
- 2019-01-14 KR KR1020217020482A patent/KR20210084686A/en active Application Filing
- 2019-01-14 NZ NZ759659A patent/NZ759659A/en unknown
- 2019-01-14 SG SG11201911805VA patent/SG11201911805VA/en unknown
- 2019-01-14 EP EP19703482.0A patent/EP3619653B1/en active Active
- 2019-01-14 JP JP2019568344A patent/JP6862581B2/en active Active
- 2019-01-14 CA CA3065939A patent/CA3065939A1/en active Pending
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2021
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2023
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- 2023-05-09 US US18/314,638 patent/US20230386611A1/en active Pending
- 2023-10-20 AU AU2023251541A patent/AU2023251541A1/en active Pending
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EP3901833A1 (en) | 2021-10-27 |
US20230386611A1 (en) | 2023-11-30 |
JP7247253B2 (en) | 2023-03-28 |
AU2021282469B2 (en) | 2023-07-20 |
AU2019206709B2 (en) | 2021-09-09 |
IL283427A (en) | 2021-06-30 |
NZ759659A (en) | 2022-07-01 |
WO2019140402A1 (en) | 2019-07-18 |
JP6862581B2 (en) | 2021-04-21 |
AU2023251541A1 (en) | 2023-11-16 |
IL283427B1 (en) | 2023-06-01 |
AU2019206709A1 (en) | 2019-12-19 |
CA3065939A1 (en) | 2019-07-18 |
JP2020525893A (en) | 2020-08-27 |
IL283427B2 (en) | 2023-10-01 |
AU2021282469A1 (en) | 2022-01-06 |
JP2021120869A (en) | 2021-08-19 |
KR102273717B1 (en) | 2021-07-06 |
JP2023080096A (en) | 2023-06-08 |
US11705219B2 (en) | 2023-07-18 |
EP3619653B1 (en) | 2021-05-19 |
CN110832510A (en) | 2020-02-21 |
US20190220704A1 (en) | 2019-07-18 |
KR20200010488A (en) | 2020-01-30 |
KR20210084686A (en) | 2021-07-07 |
IL271093A (en) | 2020-01-30 |
IL271093B (en) | 2021-09-30 |
EP3619653A1 (en) | 2020-03-11 |
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