These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
2. 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]
3. 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]
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-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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. HLPI-Ensemble: Prediction of human lncRNA-protein interactions based on ensemble strategy. Hu H; Zhang L; Ai H; Zhang H; Fan Y; Zhao Q; Liu H RNA Biol; 2018; 15(6):797-806. PubMed ID: 29583068 [TBL] [Abstract][Full Text] [Related]
17. Long Noncoding RNA and Protein Interactions: From Experimental Results to Computational Models Based on Network Methods. Zhang H; Liang Y; Han S; Peng C; Li Y Int J Mol Sci; 2019 Mar; 20(6):. PubMed ID: 30875752 [TBL] [Abstract][Full Text] [Related]
18. 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 Jun; 16(2):378-391. PubMed ID: 38206558 [TBL] [Abstract][Full Text] [Related]
19. 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]
20. PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts. Liu S; Zhao X; Zhang G; Li W; Liu F; Liu S; Zhang W Genes (Basel); 2019 Sep; 10(9):. PubMed ID: 31484412 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]