Li T - Search Results

1

Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measures.

Shi J, Teschendorff AE, Chen W, Chen L, Li T. Shi J, et al. Among authors: li t. Brief Bioinform. 2020 Jan 17;21(1):248-261. doi: 10.1093/bib/bby093. Brief Bioinform. 2020. PMID: 30289442

2

Towards a critical transition theory under different temporal scales and noise strengths.

Shi J, Li T, Chen L. Shi J, et al. Among authors: li t. Phys Rev E. 2016 Mar;93(3):032137. doi: 10.1103/PhysRevE.93.032137. Epub 2016 Mar 21. Phys Rev E. 2016. PMID: 27078322

3

Quantifying Direct Dependencies in Biological Networks by Multiscale Association Analysis.

Shi J, Zhao J, Liu X, Chen L, Li T. Shi J, et al. Among authors: li t. IEEE/ACM Trans Comput Biol Bioinform. 2020 Mar-Apr;17(2):449-458. doi: 10.1109/TCBB.2018.2846648. Epub 2018 Jun 12. IEEE/ACM Trans Comput Biol Bioinform. 2020. PMID: 29994264

4

Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process.

Shi J, Li T, Chen L, Aihara K. Shi J, et al. Among authors: li t. PLoS Comput Biol. 2019 Nov 13;15(11):e1007488. doi: 10.1371/journal.pcbi.1007488. eCollection 2019 Nov. PLoS Comput Biol. 2019. PMID: 31721764 Free PMC article.

5

Integrating single-cell datasets with ambiguous batch information by incorporating molecular network features.

Dong J, Zhou P, Wu Y, Chen Y, Xie H, Gao Y, Lu J, Yang J, Zhang X, Wen L, Li T, Tang F. Dong J, et al. Among authors: li t. Brief Bioinform. 2022 Jan 17;23(1):bbab366. doi: 10.1093/bib/bbab366. Brief Bioinform. 2022. PMID: 34553223

6

Energy landscape decomposition for cell differentiation with proliferation effect.

Shi J, Aihara K, Li T, Chen L. Shi J, et al. Among authors: li t. Natl Sci Rev. 2022 Jun 17;9(8):nwac116. doi: 10.1093/nsr/nwac116. eCollection 2022 Aug. Natl Sci Rev. 2022. PMID: 35992240 Free PMC article.

7

Efficient simulation under a population genetics model of carcinogenesis.

Zhu T, Hu Y, Ma ZM, Zhang DX, Li T, Yang Z. Zhu T, et al. Among authors: li t. Bioinformatics. 2011 Mar 15;27(6):837-43. doi: 10.1093/bioinformatics/btr025. Epub 2011 Jan 18. Bioinformatics. 2011. PMID: 21247938

8

Energy landscape reveals that the budding yeast cell cycle is a robust and adaptive multi-stage process.

Lv C, Li X, Li F, Li T. Lv C, et al. Among authors: li f, li t, li x. PLoS Comput Biol. 2015 Mar 20;11(3):e1004156. doi: 10.1371/journal.pcbi.1004156. eCollection 2015 Mar. PLoS Comput Biol. 2015. PMID: 25794282 Free PMC article.

9

Uncovering the cell fate decision in lysis-lysogeny transition and stem cell development via Markov state modeling.

Li X, Li T, Li C, Li T. Li X, et al. Among authors: li c, li t. J Chem Phys. 2021 Dec 28;155(24):245101. doi: 10.1063/5.0070485. J Chem Phys. 2021. PMID: 34972376

10

Constructing the energy landscape for genetic switching system driven by intrinsic noise.

Lv C, Li X, Li F, Li T. Lv C, et al. Among authors: li f, li t, li x. PLoS One. 2014 Feb 13;9(2):e88167. doi: 10.1371/journal.pone.0088167. eCollection 2014. PLoS One. 2014. PMID: 24551081 Free PMC article.

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