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Literature DB >> 17160063

What is a support vector machine?

Abstract

Support vector machines (SVMs) are becoming popular in a wide variety of biological applications. But, what exactly are SVMs and how do they work? And what are their most promising applications in the life sciences?

Mesh：

Year: 2006 PMID： 17160063 DOI： 10.1038/nbt1206-1565

Source DB: PubMed Journal: Nat Biotechnol ISSN： 1087-0156 Impact factor: 54.908

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Cited

413 in total

1. A machine learning approach for the prediction of protein surface loop flexibility.

Authors: Howook Hwang; Thom Vreven; Troy W Whitfield; Kevin Wiehe; Zhiping Weng
Journal: Proteins Date: 2011-06-01

Review 2. Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000-2009.

Authors: Philippe Phan; Neila Mezghani; Carl-Éric Aubin; Jacques A de Guise; Hubert Labelle
Journal: Eur Spine J Date: 2011-01-30 Impact factor: 3.134

3. Broiler chickens can benefit from machine learning: support vector machine analysis of observational epidemiological data.

Authors: Philip J Hepworth; Alexey V Nefedov; Ilya B Muchnik; Kenton L Morgan
Journal: J R Soc Interface Date: 2012-02-08 Impact factor: 4.118

What is a support vector machine?

1. A machine learning approach for the prediction of protein surface loop flexibility.

Review 2. Computer algorithms and applications used to assist the evaluation and treatment of adolescent idiopathic scoliosis: a review of published articles 2000-2009.

3. Broiler chickens can benefit from machine learning: support vector machine analysis of observational epidemiological data.

Review 4. Computational prediction of type III and IV secreted effectors in gram-negative bacteria.

5. Highly predictive and interpretable models for PAMPA permeability.

6. Stimulus discrimination via responses of retinal ganglion cells and dopamine-dependent modulation.

7. Combined QSAR and molecule docking studies on predicting P-glycoprotein inhibitors.

8. Improving the performance of physiologic hot flash measures with support vector machines.

Review 9. Machine learning in chemoinformatics and drug discovery.

10. Cytokine-induced signaling networks prioritize dynamic range over signal strength.