151 related articles for article (PubMed ID: 34335693)
1. Predicting lncRNA-Protein Interaction With Weighted Graph-Regularized Matrix Factorization.
Sun X; Cheng L; Liu J; Xie C; Yang J; Li F
Front Genet; 2021; 12():690096. PubMed ID: 34335693
[TBL] [Abstract][Full Text] [Related]
2. Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions.
Shen C; Ding Y; Tang J; Guo F
Front Genet; 2018; 9():716. PubMed ID: 30697228
[TBL] [Abstract][Full Text] [Related]
3. LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification.
Zhou L; Duan Q; Tian X; Xu H; Tang J; Peng L
BMC Bioinformatics; 2021 Nov; 22(1):568. PubMed ID: 34836494
[TBL] [Abstract][Full Text] [Related]
4. LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA-protein interaction identification.
Zhou L; Wang Z; Tian X; Peng L
BMC Bioinformatics; 2021 Oct; 22(1):479. PubMed ID: 34607567
[TBL] [Abstract][Full Text] [Related]
5. LPI-NRLMF: lncRNA-protein interaction prediction by neighborhood regularized logistic matrix factorization.
Liu H; Ren G; Hu H; Zhang L; Ai H; Zhang W; Zhao Q
Oncotarget; 2017 Nov; 8(61):103975-103984. PubMed ID: 29262614
[TBL] [Abstract][Full Text] [Related]
6. IRWNRLPI: Integrating Random Walk and Neighborhood Regularized Logistic Matrix Factorization for lncRNA-Protein Interaction Prediction.
Zhao Q; Zhang Y; Hu H; Ren G; Zhang W; Liu H
Front Genet; 2018; 9():239. PubMed ID: 30023002
[TBL] [Abstract][Full Text] [Related]
7. LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization.
Zhang T; Wang M; Xi J; Li A
IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(1):189-197. PubMed ID: 30059315
[TBL] [Abstract][Full Text] [Related]
8. LPI-IBNRA: Long Non-coding RNA-Protein Interaction Prediction Based on Improved Bipartite Network Recommender Algorithm.
Xie G; Wu C; Sun Y; Fan Z; Liu J
Front Genet; 2019; 10():343. PubMed ID: 31057602
[TBL] [Abstract][Full Text] [Related]
9. WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations.
Liu JX; Cui Z; Gao YL; Kong XZ
IEEE J Biomed Health Inform; 2021 Jan; 25(1):257-265. PubMed ID: 32287024
[TBL] [Abstract][Full Text] [Related]
10. Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks.
Shen C; Mao D; Tang J; Liao Z; Chen S
IEEE J Biomed Health Inform; 2024 Apr; 28(4):1937-1948. PubMed ID: 37327093
[TBL] [Abstract][Full Text] [Related]
11. LPI-SKF: Predicting lncRNA-Protein Interactions Using Similarity Kernel Fusions.
Zhou YK; Hu J; Shen ZA; Zhang WY; Du PF
Front Genet; 2020; 11():615144. PubMed ID: 33362868
[TBL] [Abstract][Full Text] [Related]
12. LPI-IBWA: Predicting lncRNA-protein interactions based on an improved Bi-Random walk algorithm.
Xie M; Xie R; Wang H
Methods; 2023 Dec; 220():98-105. PubMed ID: 37972912
[TBL] [Abstract][Full Text] [Related]
13. Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization.
Guan NN; Zhao Y; Wang CC; Li JQ; Chen X; Piao X
Mol Ther Nucleic Acids; 2019 Sep; 17():164-174. PubMed ID: 31265947
[TBL] [Abstract][Full Text] [Related]
14. LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification.
Peng L; Yuan R; Shen L; Gao P; Zhou L
BioData Min; 2021 Dec; 14(1):50. PubMed ID: 34861891
[TBL] [Abstract][Full Text] [Related]
15. Probing lncRNA-Protein Interactions: Data Repositories, Models, and Algorithms.
Peng L; Liu F; Yang J; Liu X; Meng Y; Deng X; Peng C; Tian G; Zhou L
Front Genet; 2019; 10():1346. PubMed ID: 32082358
[TBL] [Abstract][Full Text] [Related]
16. The Bipartite Network Projection-Recommended Algorithm for Predicting Long Non-coding RNA-Protein Interactions.
Zhao Q; Yu H; Ming Z; Hu H; Ren G; Liu H
Mol Ther Nucleic Acids; 2018 Dec; 13():464-471. PubMed ID: 30388620
[TBL] [Abstract][Full Text] [Related]
17. Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture.
Peng L; Wang C; Tian X; Zhou L; Li K
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3456-3468. PubMed ID: 34587091
[TBL] [Abstract][Full Text] [Related]
18. A Bipartite Network-based Method for Prediction of Long Non-coding RNA-protein Interactions.
Ge M; Li A; Wang M
Genomics Proteomics Bioinformatics; 2016 Feb; 14(1):62-71. PubMed ID: 26917505
[TBL] [Abstract][Full Text] [Related]
19. Projection-Based Neighborhood Non-Negative Matrix Factorization for lncRNA-Protein Interaction Prediction.
Ma Y; He T; Jiang X
Front Genet; 2019; 10():1148. PubMed ID: 31824563
[TBL] [Abstract][Full Text] [Related]
20. EnANNDeep: An Ensemble-based lncRNA-protein Interaction Prediction Framework with Adaptive k-Nearest Neighbor Classifier and Deep Models.
Peng L; Tan J; Tian X; Zhou L
Interdiscip Sci; 2022 Mar; 14(1):209-232. PubMed ID: 35006529
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]