Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes

By Lapedes A.S.  

Machine Learning, Vol. 21, Iss. 1-2, 1995-10 ,pp. : 103-124

Springer Publishing Company

Access to resources Recommend Favorite

Dimensional reduction in the protein secondary structure prediction: non-linear method improvements

By Simas Gisele M.  

International Journal of Computational Intelligence in Bioinformatics and Systems Biology, Vol. 1, Iss. 4, 2010-01 ,pp. : 383-401

Inderscience Publishers

Access to resources Recommend Favorite

Using classifier fusion techniques for protein secondary structure prediction

By Kazemian Majid  

International Journal of Computational Intelligence in Bioinformatics and Systems Biology, Vol. 1, Iss. 4, 2010-01 ,pp. : 418-434

Inderscience Publishers

Access to resources Recommend Favorite

Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology

By Zhong Wei   Altun Gulsah   Tian Xinmin   Harrison Robert   Tai Phang   Pan Yi  

The Journal of Supercomputing, Vol. 41, Iss. 1, 2007-07 ,pp. : 1-16

Springer Publishing Company

Access to resources Recommend Favorite

DOMpro: Protein Domain Prediction Using Profiles, Secondary Structure, Relative Solvent Accessibility, and Recursive Neural Networks

By Cheng Jianlin   Sweredoski Michael   Baldi Pierre  

Data Mining and Knowledge Discovery, Vol. 13, Iss. 1, 2006-07 ,pp. : 1-10

Springer Publishing Company

Access to resources Recommend Favorite