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SG141218A1 - Method for prediction of single nucleotide polymorphisms - Google Patents

Method for prediction of single nucleotide polymorphisms

Info

Publication number
SG141218A1
SG141218A1 SG200305888-0A SG2003058880A SG141218A1 SG 141218 A1 SG141218 A1 SG 141218A1 SG 2003058880 A SG2003058880 A SG 2003058880A SG 141218 A1 SG141218 A1 SG 141218A1
Authority
SG
Singapore
Prior art keywords
negative
positive
snps
parameters
information
Prior art date
Application number
SG200305888-0A
Inventor
Kong Wai Ming
Choo Keng Wah
Original Assignee
Nanyang Polytechnic
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 Nanyang Polytechnic filed Critical Nanyang Polytechnic
Priority to SG200305888-0A priority Critical patent/SG141218A1/en
Publication of SG141218A1 publication Critical patent/SG141218A1/en

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Abstract

METHOD FOR PREDICTION OF SINGLE NUCLEOTIDE POLYMORPHISMS There are disclosed methods that utilize learning machine algorithms for predicting of single nucleotide polymorphisms in polynucleotide sequences. The methods comprise steps of:generating training sets of positive and negative SNPs; calculating one or more parameters of each member of the training sets of positive and negative SNPs; training a learning machine algorithm with the one or more parameters of members of the training sets of positive and negative SNPs; and testing the trained learning machine algorithm with test sets of positive and negative SNPs; thereby the best prediction results are recorded by using any of the one or more parameters. The parameters of positive and negative SNPs used for the learning machine algorithms include free energy change ([err]G), entropy ([err]S),enthalpy ([err]H), melting temperature, GC content, SNP distribution score information, sequence information, gene information, intron information and exon information; wherein each parameter is calculated by its own rules. No figure included
SG200305888-0A 2003-10-07 2003-10-07 Method for prediction of single nucleotide polymorphisms SG141218A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
SG200305888-0A SG141218A1 (en) 2003-10-07 2003-10-07 Method for prediction of single nucleotide polymorphisms

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
SG200305888-0A SG141218A1 (en) 2003-10-07 2003-10-07 Method for prediction of single nucleotide polymorphisms

Publications (1)

Publication Number Publication Date
SG141218A1 true SG141218A1 (en) 2008-04-28

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG200305888-0A SG141218A1 (en) 2003-10-07 2003-10-07 Method for prediction of single nucleotide polymorphisms

Country Status (1)

Country Link
SG (1) SG141218A1 (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103675011A (en) * 2013-09-22 2014-03-26 浙江大学 Soft industrial melt index measurement instrument and method of optimal support vector machine
CN109490702A (en) * 2018-10-08 2019-03-19 西南交通大学 A kind of method for diagnosing faults based on adaptive optimization pulse nerve membranous system
CN110084399A (en) * 2019-03-21 2019-08-02 山东省疾病预防控制中心 A kind of periodical Time Series Forecasting Methods based on support vector machines
CN112992268A (en) * 2021-03-03 2021-06-18 兰州蓝鲸信息技术有限公司 SNP locus sequence feature extraction method
CN114530200A (en) * 2022-03-18 2022-05-24 北京阅微基因技术股份有限公司 Mixed sample identification method based on calculation of SNP entropy
CN117253539A (en) * 2023-11-20 2023-12-19 北京求臻医学检验实验室有限公司 Method and system for detecting sample pollution in high-throughput sequencing based on germ line mutation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ANALYSIS OF MULTIPLE SINGLE NUCLEOTIDE POLYMORPHISMS OF CANDIDATE GENES RELATED TO CORONARY HEART DISEASE SUSCEPTIBILITY BY USING SUPPORT VEC TOR MACHINES., ARTIFICIAL NEURAL NETWORK PREDICTIVE MODEL FOR ALLERGIC *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103675011A (en) * 2013-09-22 2014-03-26 浙江大学 Soft industrial melt index measurement instrument and method of optimal support vector machine
CN109490702A (en) * 2018-10-08 2019-03-19 西南交通大学 A kind of method for diagnosing faults based on adaptive optimization pulse nerve membranous system
CN109490702B (en) * 2018-10-08 2019-11-05 西南交通大学 A kind of method for diagnosing faults based on adaptive optimization pulse nerve membranous system
CN110084399A (en) * 2019-03-21 2019-08-02 山东省疾病预防控制中心 A kind of periodical Time Series Forecasting Methods based on support vector machines
CN110084399B (en) * 2019-03-21 2023-04-07 山东省疾病预防控制中心 Periodic time sequence prediction method based on support vector machine
CN112992268A (en) * 2021-03-03 2021-06-18 兰州蓝鲸信息技术有限公司 SNP locus sequence feature extraction method
CN114530200A (en) * 2022-03-18 2022-05-24 北京阅微基因技术股份有限公司 Mixed sample identification method based on calculation of SNP entropy
CN117253539A (en) * 2023-11-20 2023-12-19 北京求臻医学检验实验室有限公司 Method and system for detecting sample pollution in high-throughput sequencing based on germ line mutation
CN117253539B (en) * 2023-11-20 2024-02-06 北京求臻医学检验实验室有限公司 Method and system for detecting sample pollution in high-throughput sequencing based on germ line mutation

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