【序号】:1
【作者】:Sepideh Babaeia,
Amir Geranmayehb Seyyed Ali Seyyedsalehia【题名】:Protein secondary structure prediction using modular reciprocal bidirectional recurrent neural networks
【期刊】:Computer Methods and Programs in Biomedicine
【年、卷、期、起止页码】: 2010,
Volume 100,
Issue 3, Pages 237-247
【全文链接】:http://www.cmpbjournal.com/article/S0169-2607(10)00090-8/abstract
【序号】:2
【作者】:Minh N. Nguyen, Jacek M. Zurada, Jagath Rajapakse
【题名】:Towards Better Understanding of Protein Secondary Structure: Extracting Prediction Rules
【期刊】:IEEE/ACM Transactions on Computational Biology and Bioinformatics
【年、卷、期、起止页码】: 2010,,,
【全文链接】:http://www.computer.org/portal/web/csdl/doi/10.1109/TCBB.2010.16
【序号】:3
【作者】:Piyali Chatterjee,
Subhadip Basu ,
Mita Nasipuri 【题名】:Improving prediction of protein secondary structure using physicochemical properties of amino acids
【期刊】:ISB '10 Proceedings of the International Symposium on Biocomputing
【年、卷、期、起止页码】: 2010,,,
【全文链接】:http://portal.acm.org/citation.cfm?id=1722024.1722036