Optimization of Gaussian Kernel Function in Support Vector Machine aided QSAR studies of C-aryl glucoside SGLT2 inhibitors-Reference-Cited by-同舟云学术

Optimization of Gaussian Kernel Function in Support Vector Machine aided QSAR studies of C-aryl glucoside SGLT2 inhibitors

Published:2013-03 Issue:1 Volume:5 Page:45-52
ISSN:1913-2751
Container-title:Interdisciplinary Sciences: Computational Life Sciences
language:en
Short-container-title:Interdiscip Sci Comput Life Sci

Author:

Prasoona Rebekah K.,Jyoti A.,Mukesh Yadav,Nishant Sharma,Anuraj Nayarisseri S.,Shobha Joshi

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Computer Science Applications,General Biochemistry, Genetics and Molecular Biology

Link

http://link.springer.com/content/pdf/10.1007/s12539-013-0156-y.pdf

Reference22 articles.

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3. Berry, C.A., Rector, F.C. Jr. 1991. Renal transport of glucose, amino acids, sodium, chloride, and water. In: Brenner, B.M., Rector, F.C. Jr. (Eds.) The Kidney, 4th Edition, W.B. Saunders, Philadelphia, 245–282.

4. Brown, G.K. 2000. Glucose transporters: Structure, function and consequences of glucose deficiency. J Inherit Metab Dis 23, 237–246.

5. Cortes, C., Vapnik, V. 1995. Support-vector networks. Mach Learn 20, 273–297.

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