Wang L - Search Results

1

Integrating multimodal data through interpretable heterogeneous ensembles.

Li YC, Wang L, Law JN, Murali TM, Pandey G. Li YC, et al. Among authors: wang l. Bioinform Adv. 2022 Sep 12;2(1):vbac065. doi: 10.1093/bioadv/vbac065. eCollection 2022. Bioinform Adv. 2022. PMID: 36158455 Free PMC article.

2

Large-scale protein function prediction using heterogeneous ensembles.

Wang L, Law J, Kale SD, Murali TM, Pandey G. Wang L, et al. F1000Res. 2018 Sep 28;7:ISCB Comm J-1577. doi: 10.12688/f1000research.16415.1. eCollection 2018. F1000Res. 2018. PMID: 30450194 Free PMC article.

3

Predicting youth diabetes risk using NHANES data and machine learning.

Vangeepuram N, Liu B, Chiu PH, Wang L, Pandey G. Vangeepuram N, et al. Among authors: wang l. Sci Rep. 2021 May 27;11(1):11212. doi: 10.1038/s41598-021-90406-0. Sci Rep. 2021. PMID: 34045491 Free PMC article.

4

Integrating multimodal data through interpretable heterogeneous ensembles.

Li YC, Wang L, Law JN, Murali TM, Pandey G. Li YC, et al. Among authors: wang l. bioRxiv [Preprint]. 2022 Jul 25:2020.05.29.123497. doi: 10.1101/2020.05.29.123497. bioRxiv. 2022. Update in: Bioinform Adv. 2022 Sep 12;2(1):vbac065. doi: 10.1093/bioadv/vbac065 PMID: 35923321 Free PMC article. Updated. Preprint.

5

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.

Liu C, Wang L, Liu Z. Liu C, et al. Among authors: wang l. BMC Bioinformatics. 2023 Jan 4;24(1):5. doi: 10.1186/s12859-022-05126-7. BMC Bioinformatics. 2023. PMID: 36600199 Free PMC article.

6

scGREAT: Graph-based regulatory element analysis tool for single-cell multi-omics data.

Liu C, Wang L, Liu Z. Liu C, et al. Among authors: wang l. bioRxiv [Preprint]. 2023 Jan 28:2023.01.27.525916. doi: 10.1101/2023.01.27.525916. bioRxiv. 2023. PMID: 36747664 Free PMC article. Preprint.

7

Correction: Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.

Liu C, Wang L, Liu Z. Liu C, et al. Among authors: wang l. BMC Bioinformatics. 2023 Mar 29;24(1):123. doi: 10.1186/s12859-023-05249-5. BMC Bioinformatics. 2023. PMID: 36991331 Free PMC article. No abstract available.

8

Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization.

Wang L, Liu C, Gao Y, Zhang XH, Liu Z. Wang L, et al. Bioinformatics. 2023 Jul 1;39(7):btad431. doi: 10.1093/bioinformatics/btad431. Bioinformatics. 2023. PMID: 37436699 Free PMC article.

9

Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization.

Wang L, Liu C, Liu Z. Wang L, et al. bioRxiv [Preprint]. 2023 Feb 13:2023.02.13.528331. doi: 10.1101/2023.02.13.528331. bioRxiv. 2023. Update in: Bioinformatics. 2023 Jul 1;39(7):btad431. doi: 10.1093/bioinformatics/btad431 PMID: 36824948 Free PMC article. Updated. Preprint.

10

Quantification and visualization of cis-regulatory dynamics in single-cell multi-omics data with TREASMO.

Liu C, Wang L, Liu Z. Liu C, et al. Among authors: wang l. NAR Genom Bioinform. 2024 Feb 2;6(1):lqae007. doi: 10.1093/nargab/lqae007. eCollection 2024 Mar. NAR Genom Bioinform. 2024. PMID: 38312937 Free PMC article.

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