417 related articles for article (PubMed ID: 34836494)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. A novel lncRNA-protein interaction prediction method based on deep forest with cascade forest structure.
Tian X; Shen L; Wang Z; Zhou L; Peng L
Sci Rep; 2021 Sep; 11(1):18881. PubMed ID: 34556758
[TBL] [Abstract][Full Text] [Related]
7. LPI-CNNCP: Prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick.
Zhang SW; Zhang XX; Fan XN; Li WN
Anal Biochem; 2020 Jul; 601():113767. PubMed ID: 32454029
[TBL] [Abstract][Full Text] [Related]
8. Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network.
Li Y; Sun H; Feng S; Zhang Q; Han S; Du W
BMC Bioinformatics; 2021 May; 22(1):246. PubMed ID: 33985444
[TBL] [Abstract][Full Text] [Related]
9. SFPEL-LPI: Sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions.
Zhang W; Yue X; Tang G; Wu W; Huang F; Zhang X
PLoS Comput Biol; 2018 Dec; 14(12):e1006616. PubMed ID: 30533006
[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. RLF-LPI: An ensemble learning framework using sequence information for predicting lncRNA-protein interaction based on AE-ResLSTM and fuzzy decision.
Song J; Tian S; Yu L; Yang Q; Dai Q; Wang Y; Wu W; Duan X
Math Biosci Eng; 2022 Mar; 19(5):4749-4764. PubMed ID: 35430839
[TBL] [Abstract][Full Text] [Related]
12. LPI-CSFFR: Combining serial fusion with feature reuse for predicting LncRNA-protein interactions.
Huang X; Shi Y; Yan J; Qu W; Li X; Tan J
Comput Biol Chem; 2022 Aug; 99():107718. PubMed ID: 35785626
[TBL] [Abstract][Full Text] [Related]
13. CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features.
Zhang X; Wang J; Li J; Chen W; Liu C
BMC Med Genomics; 2018 Dec; 11(Suppl 6):120. PubMed ID: 30598114
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. LPI-SKMSC: Predicting LncRNA-Protein Interactions with Segmented k-mer Frequencies and Multi-space Clustering.
Sun DZ; Sun ZL; Liu M; Yong SH
Interdiscip Sci; 2024 Jan; ():. PubMed ID: 38206558
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. LPI-ETSLP: lncRNA-protein interaction prediction using eigenvalue transformation-based semi-supervised link prediction.
Hu H; Zhu C; Ai H; Zhang L; Zhao J; Zhao Q; Liu H
Mol Biosyst; 2017 Aug; 13(9):1781-1787. PubMed ID: 28702594
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. LncMirNet: Predicting LncRNA-miRNA Interaction Based on Deep Learning of Ribonucleic Acid Sequences.
Yang S; Wang Y; Lin Y; Shao D; He K; Huang L
Molecules; 2020 Sep; 25(19):. PubMed ID: 32977679
[TBL] [Abstract][Full Text] [Related]
20. LDA-VGHB: identifying potential lncRNA-disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine.
Peng L; Huang L; Su Q; Tian G; Chen M; Han G
Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38127089
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
