Li F - Search Results

1

HEAL: an automated deep learning framework for cancer histopathology image analysis.

Wang Y, Coudray N, Zhao Y, Li F, Hu C, Zhang YZ, Imoto S, Tsirigos A, Webb GI, Daly RJ, Song J. Wang Y, et al. Among authors: li f. Bioinformatics. 2021 Nov 18;37(22):4291-4295. doi: 10.1093/bioinformatics/btab380. Bioinformatics. 2021. PMID: 34009289

2

PROSPERous: high-throughput prediction of substrate cleavage sites for 90 proteases with improved accuracy.

Song J, Li F, Leier A, Marquez-Lago TT, Akutsu T, Haffari G, Chou KC, Webb GI, Pike RN, Hancock J. Song J, et al. Among authors: li f. Bioinformatics. 2018 Feb 15;34(4):684-687. doi: 10.1093/bioinformatics/btx670. Bioinformatics. 2018. PMID: 29069280 Free PMC article.

3

PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework.

Song J, Li F, Takemoto K, Haffari G, Akutsu T, Chou KC, Webb GI. Song J, et al. Among authors: li f. J Theor Biol. 2018 Apr 14;443:125-137. doi: 10.1016/j.jtbi.2018.01.023. Epub 2018 Feb 1. J Theor Biol. 2018. PMID: 29408627

4

iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences.

Chen Z, Zhao P, Li F, Leier A, Marquez-Lago TT, Wang Y, Webb GI, Smith AI, Daly RJ, Chou KC, Song J. Chen Z, et al. Among authors: li f. Bioinformatics. 2018 Jul 15;34(14):2499-2502. doi: 10.1093/bioinformatics/bty140. Bioinformatics. 2018. PMID: 29528364 Free PMC article.

5

iProt-Sub: a comprehensive package for accurately mapping and predicting protease-specific substrates and cleavage sites.

Song J, Wang Y, Li F, Akutsu T, Rawlings ND, Webb GI, Chou KC. Song J, et al. Among authors: li f. Brief Bioinform. 2019 Mar 25;20(2):638-658. doi: 10.1093/bib/bby028. Brief Bioinform. 2019. PMID: 29897410 Free PMC article. Review.

6

Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.

Li F, Li C, Marquez-Lago TT, Leier A, Akutsu T, Purcell AW, Ian Smith A, Lithgow T, Daly RJ, Song J, Chou KC. Li F, et al. Among authors: li c. Bioinformatics. 2018 Dec 15;34(24):4223-4231. doi: 10.1093/bioinformatics/bty522. Bioinformatics. 2018. PMID: 29947803 Free PMC article.

7

Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.

Li F, Wang Y, Li C, Marquez-Lago TT, Leier A, Rawlings ND, Haffari G, Revote J, Akutsu T, Chou KC, Purcell AW, Pike RN, Webb GI, Ian Smith A, Lithgow T, Daly RJ, Whisstock JC, Song J. Li F, et al. Among authors: li c. Brief Bioinform. 2019 Nov 27;20(6):2150-2166. doi: 10.1093/bib/bby077. Brief Bioinform. 2019. PMID: 30184176 Free PMC article. Review.

8

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites.

Chen Z, Liu X, Li F, Li C, Marquez-Lago T, Leier A, Akutsu T, Webb GI, Xu D, Smith AI, Li L, Chou KC, Song J. Chen Z, et al. Among authors: li f, li c, li l. Brief Bioinform. 2019 Nov 27;20(6):2267-2290. doi: 10.1093/bib/bby089. Brief Bioinform. 2019. PMID: 30285084 Free PMC article. Review.

9

Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms.

Wei L, Hu J, Li F, Song J, Su R, Zou Q. Wei L, et al. Among authors: li f. Brief Bioinform. 2020 Jan 17;21(1):106-119. doi: 10.1093/bib/bby107. Brief Bioinform. 2020. PMID: 30383239

10

MULTiPly: a novel multi-layer predictor for discovering general and specific types of promoters.

Zhang M, Li F, Marquez-Lago TT, Leier A, Fan C, Kwoh CK, Chou KC, Song J, Jia C. Zhang M, et al. Among authors: li f. Bioinformatics. 2019 Sep 1;35(17):2957-2965. doi: 10.1093/bioinformatics/btz016. Bioinformatics. 2019. PMID: 30649179 Free PMC article.

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