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Journal Abstract Search
337 related items for PubMed ID: 28604872
1. Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network. Wang YB, You ZH, Li X, Jiang TH, Chen X, Zhou X, Wang L. Mol Biosyst; 2017 Jun 27; 13(7):1336-1344. PubMed ID: 28604872 [Abstract] [Full Text] [Related]
2. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences. Wang Y, You Z, Li X, Chen X, Jiang T, Zhang J. Int J Mol Sci; 2017 May 11; 18(5):. PubMed ID: 28492483 [Abstract] [Full Text] [Related]
4. Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM. Wang YB, You ZH, Li LP, Huang YA, Yi HC. Molecules; 2017 Aug 18; 22(8):. PubMed ID: 28820478 [Abstract] [Full Text] [Related]
6. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model. An JY, Meng FR, You ZH, Chen X, Yan GY, Hu JP. Protein Sci; 2016 Oct 18; 25(10):1825-33. PubMed ID: 27452983 [Abstract] [Full Text] [Related]
7. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition. Huang YA, You ZH, Chen X, Yan GY. BMC Syst Biol; 2016 Dec 23; 10(Suppl 4):120. PubMed ID: 28155718 [Abstract] [Full Text] [Related]
9. Prediction of Protein-Protein Interactions from Amino Acid Sequences Based on Continuous and Discrete Wavelet Transform Features. Wang T, Li L, Huang YA, Zhang H, Ma Y, Zhou X. Molecules; 2018 Apr 04; 23(4):. PubMed ID: 29617272 [Abstract] [Full Text] [Related]
10. Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles. Wang YB, You ZH, Li LP, Huang DS, Zhou FF, Yang S. Int J Biol Sci; 2018 Apr 04; 14(8):983-991. PubMed ID: 29989064 [Abstract] [Full Text] [Related]
13. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest. You ZH, Chan KC, Hu P. PLoS One; 2015 Apr 04; 10(5):e0125811. PubMed ID: 25946106 [Abstract] [Full Text] [Related]
14. Detecting protein-protein interactions with a novel matrix-based protein sequence representation and support vector machines. You ZH, Li J, Gao X, He Z, Zhu L, Lei YK, Ji Z. Biomed Res Int; 2015 Apr 04; 2015():867516. PubMed ID: 26000305 [Abstract] [Full Text] [Related]
16. Using discriminative vector machine model with 2DPCA to predict interactions among proteins. Li Z, Nie R, You Z, Cao C, Li J. BMC Bioinformatics; 2019 Dec 24; 20(Suppl 25):694. PubMed ID: 31874626 [Abstract] [Full Text] [Related]