441 related articles for article (PubMed ID: 23815620)
1. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis.
You ZH; Lei YK; Zhu L; Xia J; Wang B
BMC Bioinformatics; 2013; 14 Suppl 8(Suppl 8):S10. PubMed ID: 23815620
[TBL] [Abstract][Full Text] [Related]
2. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
An JY; You ZH; Meng FR; Xu SJ; Wang Y
Int J Mol Sci; 2016 May; 17(5):. PubMed ID: 27213337
[TBL] [Abstract][Full Text] [Related]
3. 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; 10(5):e0125811. PubMed ID: 25946106
[TBL] [Abstract][Full Text] [Related]
4. 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; 25(10):1825-33. PubMed ID: 27452983
[TBL] [Abstract][Full Text] [Related]
5. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
Li ZW; You ZH; Chen X; Li LP; Huang DS; Yan GY; Nie R; Huang YA
Oncotarget; 2017 Apr; 8(14):23638-23649. PubMed ID: 28423569
[TBL] [Abstract][Full Text] [Related]
6. Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation.
Li Y; Wang Z; You ZH; Li LP; Hu X
Comput Math Methods Med; 2022; 2022():7191684. PubMed ID: 35242211
[TBL] [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; 10(Suppl 4):120. PubMed ID: 28155718
[TBL] [Abstract][Full Text] [Related]
8. 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; 20(Suppl 25):694. PubMed ID: 31874626
[TBL] [Abstract][Full Text] [Related]
9. Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.
Li J; Shi X; You ZH; Yi HC; Chen Z; Lin Q; Fang M
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1546-1554. PubMed ID: 31940546
[TBL] [Abstract][Full Text] [Related]
10. Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information.
Xu D; Xu H; Zhang Y; Chen W; Gao R
Molecules; 2020 Apr; 25(8):. PubMed ID: 32316294
[TBL] [Abstract][Full Text] [Related]
11. Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set.
You ZH; Zhu L; Zheng CH; Yu HJ; Deng SP; Ji Z
BMC Bioinformatics; 2014; 15 Suppl 15(Suppl 15):S9. PubMed ID: 25474679
[TBL] [Abstract][Full Text] [Related]
12. Protein-Protein Interactions Prediction Using a Novel Local Conjoint Triad Descriptor of Amino Acid Sequences.
Wang J; Zhang L; Jia L; Ren Y; Yu G
Int J Mol Sci; 2017 Nov; 18(11):. PubMed ID: 29117139
[TBL] [Abstract][Full Text] [Related]
13. Highly Accurate Prediction of Protein-Protein Interactions via Incorporating Evolutionary Information and Physicochemical Characteristics.
Li ZW; You ZH; Chen X; Gui J; Nie R
Int J Mol Sci; 2016 Aug; 17(9):. PubMed ID: 27571061
[TBL] [Abstract][Full Text] [Related]
14. Global protein-protein interaction networks in yeast saccharomyces cerevisiae and helicobacter pylori.
Zandi F; Mansouri P; Goodarzi M
Talanta; 2023 Dec; 265():124836. PubMed ID: 37393709
[TBL] [Abstract][Full Text] [Related]
15. A novel method based on new adaptive LVQ neural network for predicting protein-protein interactions from protein sequences.
Yousef A; Moghadam Charkari N
J Theor Biol; 2013 Nov; 336():231-9. PubMed ID: 23911582
[TBL] [Abstract][Full Text] [Related]
16. 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; 18(5):. PubMed ID: 28492483
[TBL] [Abstract][Full Text] [Related]
17. Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
Huang YA; You ZH; Chen X; Chan K; Luo X
BMC Bioinformatics; 2016 Apr; 17(1):184. PubMed ID: 27112932
[TBL] [Abstract][Full Text] [Related]
18. Advancing the prediction accuracy of protein-protein interactions by utilizing evolutionary information from position-specific scoring matrix and ensemble classifier.
Wang L; You ZH; Xia SX; Liu F; Chen X; Yan X; Zhou Y
J Theor Biol; 2017 Apr; 418():105-110. PubMed ID: 28088356
[TBL] [Abstract][Full Text] [Related]
19. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
Tian B; Wu X; Chen C; Qiu W; Ma Q; Yu B
J Theor Biol; 2019 Feb; 462():329-346. PubMed ID: 30452960
[TBL] [Abstract][Full Text] [Related]
20. 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; 22(8):. PubMed ID: 28820478
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]