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Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins.

, , , , , , , , и . Bioinform., 32 (6): 843-849 (2016)

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Abdollah Malekpur

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Abdollah Alavi

 

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A Machine Learning Distracted Driving Prediction Model., , и . ICVISP, стр. 77:1-77:6. ACM, (2019)Protein Fold Recognition Using Segmentation-Based Feature Extraction Model., и . ACIIDS (1), том 7802 из Lecture Notes in Computer Science, стр. 345-354. Springer, (2013)Protein Fold Recognition Using an Overlapping Segmentation Approach and a Mixture of Feature Extraction Models., , , , и . Australasian Conference on Artificial Intelligence, том 8272 из Lecture Notes in Computer Science, стр. 32-43. Springer, (2013)Using Rotation Forest for Protein Fold Prediction Problem: An Empirical Study., , , и . EvoBIO, том 6023 из Lecture Notes in Computer Science, стр. 217-227. Springer, (2010)Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features., , , , и . PRIB, том 7986 из Lecture Notes in Computer Science, стр. 196-207. Springer, (2013)Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy., , , , и . PRIB, том 7986 из Lecture Notes in Computer Science, стр. 208-219. Springer, (2013)Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins., , , , , , , , и . Bioinform., 32 (6): 843-849 (2016)Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers., , и . Aust. J. Intell. Inf. Process. Syst., (2009)Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information., , , и . BMC Bioinform., 15 (S-16): S12 (2014)The Application of Fusion of Heterogeneous Meta Classifiers to Enhance Protein Fold Prediction Accuracy., , , и . ACIIDS (1), том 6591 из Lecture Notes in Computer Science, стр. 538-547. Springer, (2011)