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Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features.

, , , , , , and . BMC Bioinform., 16 (S-4): S1 (2015)

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Speech-Signal-Based Frequency Warping., , , and . IEEE Signal Process. Lett., 16 (4): 319-322 (2009)Exploring Potential Discriminatory Information Embedded in PSSM to Enhance Protein Structural Class Prediction Accuracy., , , , and . PRIB, volume 7986 of Lecture Notes in Computer Science, page 208-219. Springer, (2013)Enhancing Protein Fold Prediction Accuracy Using Evolutionary and Structural Features., , , , and . PRIB, volume 7986 of Lecture Notes in Computer Science, page 196-207. Springer, (2013)Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins., , , , , , , , and . Bioinform., 32 (6): 843-849 (2016)Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network., , , , , , , and . J. Comput. Chem., 35 (28): 2040-2046 (2014)Kalman fitler with phase spectrum compensation algorithm for speech enhancement., , , , and . ICASSP, page 4405-4408. IEEE, (2009)Effect of compressing the dynamic range of the power spectrum in modulation filtering based speech enhancement., and . INTERSPEECH, page 387-390. ISCA, (2008)A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition., , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 11 (3): 510-519 (2014)Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning., , , , , and . J. Comput. Chem., 39 (26): 2210-2216 (2018)Gram-positive and gram-negative subcellular localization using rotation forest and physicochemical-based features., , , , , , and . BMC Bioinform., 16 (S-4): S1 (2015)