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https://www.csie.ntu.edu.tw/~p88012/Bio_SVM.pdf
Application of Support Vector Machines in Bioinformatics. by Jung-Ying Wang A dissertation submitted in partial fulfillment of the requirements for the degree of Master of Science (Computer Science and Information Engineering) in National Taiwan University 2002.
http://mat.edu.bioinformatics.org/BIFX11/Gupta.pdf
Application of Support Vector Machine In Bioinformatics V. K. Jayaraman Scientific and Engineering Computing Group CDAC, Pune [email protected] Arun Gupta Computational Biology Group AbhyudayaTech, Indore [email protected]
https://academic.oup.com/bib/article/5/4/328/265877
Dec 01, 2004 · One of the major tasks in bioinformatics is the classification and prediction of biological data. With the rapid increase in size of the biological databanks, it is essential to use computer programs to automate the classification process. At present, the computer programs that give the best prediction performance are support vector machines (SVMs).Cited by: 199
https://www.researchgate.net/profile/Turgay_Korkmaz/publication/221907522_Applications_of_Support_Vector_Machines_in_Bioinformatics_and_Network_Security/links/09e4150b3ba6d9db78000000.pdf?origin=publication_detail
Applications of Support Vector Machines in Bioinformatics and Network Security 129 Therefore, for many imbalanced datasets, the ML classifier ends up …
https://academic.oup.com/bioinformatics/article/19/15/1978/230996
Oct 12, 2003 · Results: For the first time we develop a support vector machine (SVM) for T-cell epitope prediction with an MHC type I restricted T-cell clone. Using cross-validation, we demonstrate that SVMs can be trained on relatively small data sets to provide prediction more accurate than those based on previously published methods or on MHC binding.Cited by: 155
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.7578
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Recently a new learning method called support vector machines (SVM) has shown comparable or better results than neural networks on some applications. In this thesis we exploit the possibility of using SVM for three important issues of bioinformatics: the prediction of protein secondary structure, …
https://www.researchgate.net/publication/221907522_Applications_of_Support_Vector_Machines_in_Bioinformatics_and_Network_Security
Applications of Support Vector Machines in Bioinformatics and Network Security 129 Therefore, for many imbalanced datasets, the ML classifier …
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