Li LP - Search Results

1

SAWRPI: A Stacking Ensemble Framework With Adaptive Weight for Predicting ncRNA-Protein Interactions Using Sequence Information.

Ren ZH, Yu CQ, Li LP, You ZH, Guan YJ, Li YC, Pan J. Ren ZH, et al. Among authors: li lp, li yc. Front Genet. 2022 Feb 28;13:839540. doi: 10.3389/fgene.2022.839540. eCollection 2022. Front Genet. 2022. PMID: 35360836 Free PMC article.

2

Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.

Li ZW, You ZH, Chen X, Li LP, Huang DS, Yan GY, Nie R, Huang YA. Li ZW, et al. Among authors: li lp. Oncotarget. 2017 Apr 4;8(14):23638-23649. doi: 10.18632/oncotarget.15564. Oncotarget. 2017. PMID: 28423569 Free PMC article.

3

Prediction of protein-protein interactions by label propagation with protein evolutionary and chemical information derived from heterogeneous network.

Wen YT, Lei HJ, You ZH, Lei BY, Chen X, Li LP. Wen YT, et al. Among authors: li lp. J Theor Biol. 2017 Oct 7;430:9-20. doi: 10.1016/j.jtbi.2017.06.003. Epub 2017 Jun 16. J Theor Biol. 2017. PMID: 28625475

4

Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.

Wang YB, You ZH, Li LP, Huang YA, Yi HC. Wang YB, et al. Among authors: li lp. Molecules. 2017 Aug 18;22(8):1366. doi: 10.3390/molecules22081366. Molecules. 2017. PMID: 28820478 Free PMC article.

5

EPMDA: an expression-profile based computational model for microRNA-disease association prediction.

Huang YA, You ZH, Li LP, Huang ZA, Xiang LX, Li XF, Lv LT. Huang YA, et al. Among authors: li xf, li lp. Oncotarget. 2017 Jun 28;8(50):87033-87043. doi: 10.18632/oncotarget.18788. eCollection 2017 Oct 20. Oncotarget. 2017. PMID: 29152061 Free PMC article.

6

PCLPred: A Bioinformatics Method for Predicting Protein-Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation.

Li LP, Wang YB, You ZH, Li Y, An JY. Li LP, et al. Among authors: li y. Int J Mol Sci. 2018 Mar 29;19(4):1029. doi: 10.3390/ijms19041029. Int J Mol Sci. 2018. PMID: 29596363 Free PMC article.

7

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information.

Yi HC, You ZH, Huang DS, Li X, Jiang TH, Li LP. Yi HC, et al. Among authors: li lp, li x. Mol Ther Nucleic Acids. 2018 Jun 1;11:337-344. doi: 10.1016/j.omtn.2018.03.001. Epub 2018 Mar 9. Mol Ther Nucleic Acids. 2018. PMID: 29858068 Free PMC article.

8

Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles.

Wang YB, You ZH, Li LP, Huang DS, Zhou FF, Yang S. Wang YB, et al. Among authors: li lp. Int J Biol Sci. 2018 May 23;14(8):983-991. doi: 10.7150/ijbs.23817. eCollection 2018. Int J Biol Sci. 2018. PMID: 29989064 Free PMC article.

9

Using Two-dimensional Principal Component Analysis and Rotation Forest for Prediction of Protein-Protein Interactions.

Wang L, You ZH, Yan X, Xia SX, Liu F, Li LP, Zhang W, Zhou Y. Wang L, et al. Among authors: li lp. Sci Rep. 2018 Aug 27;8(1):12874. doi: 10.1038/s41598-018-30694-1. Sci Rep. 2018. PMID: 30150728 Free PMC article.

10

Accurate Prediction of ncRNA-Protein Interactions From the Integration of Sequence and Evolutionary Information.

Zhan ZH, You ZH, Li LP, Zhou Y, Yi HC. Zhan ZH, et al. Among authors: li lp. Front Genet. 2018 Oct 8;9:458. doi: 10.3389/fgene.2018.00458. eCollection 2018. Front Genet. 2018. PMID: 30349558 Free PMC article.

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