USP Electronic Research Repository

Items where Author is "Zhou, Y."

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Number of items: 6.

Book Chapter

Yang, Y. and Heffernan, R. and Paliwal, K. and Lyons, J. and Dehzangi, A. and Sharma, Alokanand and Wang, J. and Sattar, A. and Zhou, Y. (2017) SPIDER2: a package to predict secondary structure, accessible surface area, and main - chain torsional angles by deep neural networks. In: Prediction of Protein Secondary Structure. Methods in Molecular Biology. Humana Press, New York, pp. 55-63. ISBN 9781493964048

Journal Article

Heffernan, R. and Dehzangi, Abdollah and Lyons, J. and Paliwal, K.K. and Sharma, Alokanand and Wang, J. and Sattar, A. and Zhou, Y. and Yang, Y. (2016) Highly Accurate Sequence-based Prediction of Half-Sphere Exposures of Amino Acid Residues in Proteins. Bioinformatics, 32 (6). pp. 843-849. ISSN 1367-4803

Lyons, J. and Dehzangi, A. and Heffernan, R. and Yang, Yuedong and Zhou, Y. and Sharma, Alokanand and Paliwal, K.K. (2015) Advancing the accuracy of protein fold recognition by utilizing profiles from hidden Markov models. IEEE Transactions on Nanobioscience, 14 (7). pp. 761-772. ISSN 1536-1241

Heffernan, R. and Dehzangi, A. and Lyons, J. and Paliwal, K.K. and Sharma, Alokanand and Wang, J. and Sattar, A. and Zhou, Y. and Yang, Y. (2015) Highly accurate sequence - based prediction of half - sphere exposures of amino acid residues in proteins. Bioinformatics, 14 . pp. 1-7. ISSN 1367-4803

Heffernan, R. and Paliwal, K.K. and Lyons, J. and Dehzangi, A. and Sharma, Alokanand and Wang, J. and Sattar, A. and Yang, Y. and Zhou, Y. (2015) Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning. Scientific Reports, 5 (11476). pp. 1-11. ISSN NA

Lyons, S. and Dehzangi, A. and Heffernan, R. and Sharma, Alokanand and Paliwal, K.K. and Sattar, A. and Zhou, Y. and Yang, Y. (2014) Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. Journal of Computational Chemistry, 35 (28). pp. 2040-2046. ISSN 0192-8651

This list was generated on Fri Dec 27 12:35:54 2024 +12.