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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)

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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)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)A Machine Learning Distracted Driving Prediction Model., , и . ICVISP, стр. 77:1-77:6. ACM, (2019)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)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)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)Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction., , , , , и . PRICAI (3), том 11672 из Lecture Notes in Computer Science, стр. 488-500. Springer, (2019)Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information., , , и . BMC Bioinform., 15 (S-16): S12 (2014)