Author of the publication

Proposing a highly accurate protein structural class predictor using segmentation-based features.

, , , , and . BMC Genomics, 15 (S-1): S2 (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition., , , , and . IEEE/ACM Trans. Comput. Biology Bioinform., 11 (3): 510-519 (2014)Kalman fitler with phase spectrum compensation algorithm for speech enhancement., , , , and . ICASSP, page 4405-4408. IEEE, (2009)Speech-Signal-Based Frequency Warping., , , and . IEEE Signal Process. Lett., 16 (4): 319-322 (2009)Effect of compressing the dynamic range of the power spectrum in modulation filtering based speech enhancement., and . INTERSPEECH, page 387-390. ISCA, (2008)Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins., , , , , , , , and . Bioinformatics, 32 (6): 843-849 (2016)Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network., , , , , , , and . Journal of Computational Chemistry, 35 (28): 2040-2046 (2014)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)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)Exploiting Conjugate Symmetry of the Short-Time Fourier Spectrum for Speech Enhancement., , , , and . IEEE Signal Process. Lett., (2008)Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning., , , , , and . Journal of Computational Chemistry, 39 (26): 2210-2216 (2018)