179 related articles for article (PubMed ID: 33754153)
1. A systematic review of computational methods for predicting long noncoding RNAs.
Xu X; Liu S; Yang Z; Zhao X; Deng Y; Zhang G; Pang J; Zhao C; Zhang W
Brief Funct Genomics; 2021 Jun; 20(3):162-173. PubMed ID: 33754153
[TBL] [Abstract][Full Text] [Related]
2. Predicting Long non-coding RNAs through feature ensemble learning.
Xu Y; Zhao X; Liu S; Zhang W
BMC Genomics; 2020 Dec; 21(Suppl 13):865. PubMed ID: 33334320
[TBL] [Abstract][Full Text] [Related]
3. Identification of long noncoding RNAs with machine learning methods: a review.
Xu L; Jiao S; Zhang D; Wu S; Zhang H; Gao B
Brief Funct Genomics; 2021 Jun; 20(3):174-180. PubMed ID: 33758917
[TBL] [Abstract][Full Text] [Related]
4. Machine Learning-Based Annotation of Long Noncoding RNAs Using PLncPRO.
Khemka NK; Singh U; Dwivedi AK; Jain M
Methods Mol Biol; 2020; 2107():253-260. PubMed ID: 31893451
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Recent Advances in Predicting Protein-lncRNA Interactions Using Machine Learning Methods.
Yu H; Shen ZA; Zhou YK; Du PF
Curr Gene Ther; 2022; 22(3):228-244. PubMed ID: 34254917
[TBL] [Abstract][Full Text] [Related]
8. Long non-coding RNAs and complex diseases: from experimental results to computational models.
Chen X; Yan CC; Zhang X; You ZH
Brief Bioinform; 2017 Jul; 18(4):558-576. PubMed ID: 27345524
[TBL] [Abstract][Full Text] [Related]
9. LMI-DForest: A deep forest model towards the prediction of lncRNA-miRNA interactions.
Wang W; Guan X; Khan MT; Xiong Y; Wei DQ
Comput Biol Chem; 2020 Dec; 89():107406. PubMed ID: 33120126
[TBL] [Abstract][Full Text] [Related]
10. Recent advances in machine learning methods for predicting LncRNA and disease associations.
Tan J; Li X; Zhang L; Du Z
Front Cell Infect Microbiol; 2022; 12():1071972. PubMed ID: 36530425
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach.
Zhang Y; Jia C; Kwoh CK
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33003205
[TBL] [Abstract][Full Text] [Related]
13. Computational models for lncRNA function prediction and functional similarity calculation.
Chen X; Sun YZ; Guan NN; Qu J; Huang ZA; Zhu ZX; Li JQ
Brief Funct Genomics; 2019 Feb; 18(1):58-82. PubMed ID: 30247501
[TBL] [Abstract][Full Text] [Related]
14. Prediction of plant lncRNA by ensemble machine learning classifiers.
Simopoulos CMA; Weretilnyk EA; Golding GB
BMC Genomics; 2018 May; 19(1):316. PubMed ID: 29720103
[TBL] [Abstract][Full Text] [Related]
15. lncRNA_Mdeep: An Alignment-Free Predictor for Distinguishing Long Non-Coding RNAs from Protein-Coding Transcripts by Multimodal Deep Learning.
Fan XN; Zhang SW; Zhang SY; Ni JJ
Int J Mol Sci; 2020 Jul; 21(15):. PubMed ID: 32718000
[TBL] [Abstract][Full Text] [Related]
16. PlncRNA-HDeep: plant long noncoding RNA prediction using hybrid deep learning based on two encoding styles.
Meng J; Kang Q; Chang Z; Luan Y
BMC Bioinformatics; 2021 May; 22(Suppl 3):242. PubMed ID: 33980138
[TBL] [Abstract][Full Text] [Related]
17. Identifying Interactions Between Long Noncoding RNAs and Diseases Based on Computational Methods.
Lan W; Huang L; Lai D; Chen Q
Methods Mol Biol; 2018; 1754():205-221. PubMed ID: 29536445
[TBL] [Abstract][Full Text] [Related]
18. Computational prediction of disease related lncRNAs using machine learning.
Khalid R; Naveed H; Khalid Z
Sci Rep; 2023 Jan; 13(1):806. PubMed ID: 36646775
[TBL] [Abstract][Full Text] [Related]
19. MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model.
Liang Y; Zhang ZQ; Liu NN; Wu YN; Gu CL; Wang YL
BMC Bioinformatics; 2022 May; 23(1):189. PubMed ID: 35590258
[TBL] [Abstract][Full Text] [Related]
20. Ensemble Deep Learning Based on Multi-level Information Enhancement and Greedy Fuzzy Decision for Plant miRNA-lncRNA Interaction Prediction.
Kang Q; Meng J; Shi W; Luan Y
Interdiscip Sci; 2021 Dec; 13(4):603-614. PubMed ID: 33900552
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
