Ching WK - Search Results

1

BANMF-S: a blockwise accelerated non-negative matrix factorization framework with structural network constraints for single cell imputation.

Zhao J, Ching WK, Wong CW, Cheng X. Zhao J, et al. Among authors: ching wk. Brief Bioinform. 2024 Jul 25;25(5):bbae432. doi: 10.1093/bib/bbae432. Brief Bioinform. 2024. PMID: 39242194 Free PMC article.

2

LogBTF: gene regulatory network inference using Boolean threshold network model from single-cell gene expression data.

Li L, Sun L, Chen G, Wong CW, Ching WK, Liu ZP. Li L, et al. Among authors: ching wk. Bioinformatics. 2023 May 4;39(5):btad256. doi: 10.1093/bioinformatics/btad256. Bioinformatics. 2023. PMID: 37079737 Free PMC article.

3

NG-SEM: an effective non-Gaussian structural equation modeling framework for gene regulatory network inference from single-cell RNA-seq data.

Zhao J, Wong CW, Ching WK, Cheng X. Zhao J, et al. Among authors: ching wk. Brief Bioinform. 2023 Sep 22;24(6):bbad369. doi: 10.1093/bib/bbad369. Brief Bioinform. 2023. PMID: 37864293

4

Integer programming-based method for observability of singleton attractors in Boolean networks.

Cheng X, Qiu Y, Hou W, Ching WK. Cheng X, et al. Among authors: ching wk. IET Syst Biol. 2017 Feb;11(1):30-35. doi: 10.1049/iet-syb.2016.0022. IET Syst Biol. 2017. PMID: 28303791 Free PMC article.

5

Discovery of Boolean metabolic networks: integer linear programming based approach.

Qiu Y, Jiang H, Ching WK, Cheng X. Qiu Y, et al. Among authors: ching wk. BMC Syst Biol. 2018 Apr 11;12(Suppl 1):7. doi: 10.1186/s12918-018-0528-3. BMC Syst Biol. 2018. PMID: 29671395 Free PMC article.

6

Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence.

Jiang H, Ching WK, Qiu Y, Cheng XQ. Jiang H, et al. Among authors: ching wk. BMC Syst Biol. 2017 Dec 14;11(Suppl 6):115. doi: 10.1186/s12918-017-0479-0. BMC Syst Biol. 2017. PMID: 29297357 Free PMC article.

7

Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition.

Qiu Y, Ching WK, Zou Q. Qiu Y, et al. Among authors: ching wk. Brief Bioinform. 2021 Nov 5;22(6):bbab332. doi: 10.1093/bib/bbab332. Brief Bioinform. 2021. PMID: 34410342

8

scEWE: high-order element-wise weighted ensemble clustering for heterogeneity analysis of single-cell RNA-sequencing data.

Huang Y, Jiang H, Ching WK. Huang Y, et al. Among authors: ching wk. Brief Bioinform. 2024 Mar 27;25(3):bbae203. doi: 10.1093/bib/bbae203. Brief Bioinform. 2024. PMID: 38701413 Free PMC article.

9

Drug Side-Effect Profiles Prediction: From Empirical to Structural Risk Minimization.

Jiang H, Qiu Y, Hou W, Cheng X, Yim MY, Ching WK. Jiang H, et al. Among authors: ching wk. IEEE/ACM Trans Comput Biol Bioinform. 2020 Mar-Apr;17(2):402-410. doi: 10.1109/TCBB.2018.2850884. Epub 2018 Jun 28. IEEE/ACM Trans Comput Biol Bioinform. 2020. PMID: 29994681

10

Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion.

Qiu Y, Ching WK, Zou Q. Qiu Y, et al. Among authors: ching wk. Brief Bioinform. 2021 Sep 2;22(5):bbaa440. doi: 10.1093/bib/bbaa440. Brief Bioinform. 2021. PMID: 33517359

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