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https://academic.oup.com/bioinformatics/article/17/8/721/234864
Aug 01, 2001 · Results: In this paper, Support Vector Machine has been introduced to predict the subcellular localization of proteins from their amino acid compositions. The total prediction accuracies reach 91.4% for three subcellular locations in prokaryotic organisms and 79.4% for four locations in eukaryotic organisms.Cited by: 990
https://www.csie.ntu.edu.tw/~p88012/Bio_SVM.pdf
Recently support vector machines (SVM) has been a new and promising tech-nique for machine learning. On some applications it has obtained higher accuracy than neural networks (for example, [17]). SVM has also been applied to biological problems. Some examples are [6, 80]. In this thesis we exploit the possibility of using
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
https://academic.oup.com/bioinformatics/article/27/13/i342/177303
Jun 14, 2011 · Abstract. Motivation: Classifying biological data into different groups is a central task of bioinformatics: for instance, to predict the function of a gene or protein, the disease state of a patient or the phenotype of an individual based on its genotype. Support Vector Machines are a wide spread approach for classifying biological data, due to their high accuracy, their ability to deal with ...Cited by: 23
http://compdiag.molgen.mpg.de/docs/markowetz_diplom.pdf
how this a ects the implementation of Structural Risk Minimization by Support Vector Machines. Part III. The third part of this work discusses the application of support vector theory to problems in bioinformatics. Chapter 8 o ers a brief summary of the biological
https://www.biostars.org/p/151280/
I am generally of field computer science and data analytic. I have learned machine learning and i am solving one biological problem with using Support Vector machine.My question is i am having a data set of amino acid sequences. In our human body there are 20 standard amino acids and each amino acid contain sequences.
http://support-vector-machines.org/SVM_soft.html
SVM - Support Vector Machines Software Review: Applications of Support Vector Machines in Chemistry, ... These modules have straightforward applications in bioinformatics, but one can imagine significant implementations for cheminformatics, when the chemical structure is represented as trees or sequences. ... (Proximal Support Vector Machine ...
http://support-vector-machines.org/
Kernel-based techniques (such as support vector machines, Bayes point machines, kernel principal component analysis, and Gaussian processes) represent a major development in machine learning algorithms. Support vector machines (SVM) are a group of supervised learning methods that can be applied to classification or regression.
http://www.cs.trincoll.edu/bioinfo/index.php/Support_Vector_Machine_Overview
A Support Vector Machine (SVM) is a computational tool that performs classification of input data (usually in the form of vectors) by constructing a multi-dimensional plane that separates the data into two or more classes based on the training data. SVMs are a set of supervised learning …
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