1160 related articles for article (PubMed ID: 29566671)
1. Completing sparse and disconnected protein-protein network by deep learning.
Huang L; Liao L; Wu CH
BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
[TBL] [Abstract][Full Text] [Related]
2. Inference of protein-protein interaction networks from multiple heterogeneous data.
Huang L; Liao L; Wu CH
EURASIP J Bioinform Syst Biol; 2016 Dec; 2016(1):8. PubMed ID: 26941784
[TBL] [Abstract][Full Text] [Related]
3. A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks.
Ou-Yang L; Yan H; Zhang XF
BMC Bioinformatics; 2017 Dec; 18(Suppl 13):463. PubMed ID: 29219066
[TBL] [Abstract][Full Text] [Related]
4. Multimodal deep representation learning for protein interaction identification and protein family classification.
Zhang D; Kabuka M
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):531. PubMed ID: 31787089
[TBL] [Abstract][Full Text] [Related]
5. Evolutionary analysis and interaction prediction for protein-protein interaction network in geometric space.
Huang L; Liao L; Wu CH
PLoS One; 2017; 12(9):e0183495. PubMed ID: 28886027
[TBL] [Abstract][Full Text] [Related]
6. Machine-learning techniques for the prediction of protein-protein interactions.
Sarkar D; Saha S
J Biosci; 2019 Sep; 44(4):. PubMed ID: 31502581
[TBL] [Abstract][Full Text] [Related]
7. Prediction of problematic complexes from PPI networks: sparse, embedded, and small complexes.
Yong CH; Wong L
Biol Direct; 2015 Aug; 10():40. PubMed ID: 26231465
[TBL] [Abstract][Full Text] [Related]
8. Deep Neural Network Based Predictions of Protein Interactions Using Primary Sequences.
Li H; Gong XJ; Yu H; Zhou C
Molecules; 2018 Aug; 23(8):. PubMed ID: 30071670
[TBL] [Abstract][Full Text] [Related]
9. SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction.
Li X; Han P; Wang G; Chen W; Wang S; Song T
BMC Genomics; 2022 Jun; 23(1):474. PubMed ID: 35761175
[TBL] [Abstract][Full Text] [Related]
10. An iteration method for identifying yeast essential proteins from heterogeneous network.
Zhao B; Zhao Y; Zhang X; Zhang Z; Zhang F; Wang L
BMC Bioinformatics; 2019 Jun; 20(1):355. PubMed ID: 31234779
[TBL] [Abstract][Full Text] [Related]
11. Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model.
Balogh OM; Benczik B; Horváth A; Pétervári M; Csermely P; Ferdinandy P; Ágg B
BMC Bioinformatics; 2022 Feb; 23(1):78. PubMed ID: 35183129
[TBL] [Abstract][Full Text] [Related]
12. Protein functional properties prediction in sparsely-label PPI networks through regularized non-negative matrix factorization.
Wu Q; Wang Z; Li C; Ye Y; Li Y; Sun N
BMC Syst Biol; 2015; 9 Suppl 1(Suppl 1):S9. PubMed ID: 25708164
[TBL] [Abstract][Full Text] [Related]
13. DeepEP: a deep learning framework for identifying essential proteins.
Zeng M; Li M; Wu FX; Li Y; Pan Y
BMC Bioinformatics; 2019 Dec; 20(Suppl 16):506. PubMed ID: 31787076
[TBL] [Abstract][Full Text] [Related]
14. 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; 13(7):1336-1344. PubMed ID: 28604872
[TBL] [Abstract][Full Text] [Related]
15. [Sparse Denoising Autoencoder Application in Identification of Counterfeit Pharmaceutical].
Yang HH; Luo ZC; Jiang SJ; Zhang XB; Yin LH
Guang Pu Xue Yu Guang Pu Fen Xi; 2016 Sep; 36(9):2774-9. PubMed ID: 30084593
[TBL] [Abstract][Full Text] [Related]
16. Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
Lei H; Wen Y; You Z; Elazab A; Tan EL; Zhao Y; Lei B
IEEE J Biomed Health Inform; 2019 May; 23(3):1290-1303. PubMed ID: 29994278
[TBL] [Abstract][Full Text] [Related]
17. Protein Interaction Network Reconstruction with a Structural Gated Attention Deep Model by Incorporating Network Structure Information.
Zhu F; Li F; Deng L; Meng F; Liang Z
J Chem Inf Model; 2022 Jan; 62(2):258-273. PubMed ID: 35005980
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning of Protein Interactions in Fungal Secretory Pathways.
Kludas J; Arvas M; Castillo S; Pakula T; Oja M; Brouard C; Jäntti J; Penttilä M; Rousu J
PLoS One; 2016; 11(7):e0159302. PubMed ID: 27441920
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction.
Fang Y; Sun M; Dai G; Ramain K
IEEE/ACM Trans Comput Biol Bioinform; 2016; 13(1):76-85. PubMed ID: 26886733
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
