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2020 – today
- 2026
[j14]Yitao Xu, Guanyun Wei, Jingying Zhou
, Yuanhua Huang, Weichuan Yu, Zhixiang Lin, Ran Liu, Xiaodan Fan:
RoBep: a region-oriented deep learning model for B-cell epitope prediction. Bioinform. 42(1) (2026)- 2025
- [j13]Ji Qi, Muyang Ge, Jishuai Miao, Xiaocheng Zhou, Zhixiang Lin:
STIFT: spatiotemporal transcriptomics integration through spatially informed multi-timepoint bridging. Briefings Bioinform. 26(5) (2025) - [j12]Yurou Wang, Zhixiang Lin, Tao Wang:
InterVelo: a mutually enhancing model for estimating pseudotime and RNA velocity in multi-omic single-cell data. Bioinform. 41(10) (2025) - 2024
- [j11]Jinzhao Li, Jiong Wang, Zhixiang Lin:
SGCAST: symmetric graph convolutional auto-encoder for scalable and accurate study of spatial transcriptomics. Briefings Bioinform. 25(1) (2024) - [j10]Pengcheng Zeng, Zhixiang Lin:
scICML: Information-Theoretic Co-Clustering-Based Multi-View Learning for the Integrative Analysis of Single-Cell Multi-Omics Data. IEEE ACM Trans. Comput. Biol. Bioinform. 21(1): 200-207 (2024) - 2023
- [j9]Zheng Zhang, Shengquan Chen, Zhixiang Lin:
RefTM: reference-guided topic modeling of single-cell chromatin accessibility data. Briefings Bioinform. 24(1) (2023) - [j8]Pengcheng Zeng, Yuanyuan Ma, Zhixiang Lin:
scAWMV: an adaptively weighted multi-view learning framework for the integrative analysis of parallel scRNA-seq and scATAC-seq data. Bioinform. 39(1) (2023) - [j7]Chen Li, Ting-Fung Chan, Can Yang, Zhixiang Lin:
stVAE deconvolves cell-type composition in large-scale cellular resolution spatial transcriptomics. Bioinform. 39(10) (2023) - 2022
- [j6]Yuanyuan Ma, Zexuan Sun, Pengcheng Zeng, Wenyu Zhang, Zhixiang Lin:
JSNMF enables effective and accurate integrative analysis of single-cell multiomics data. Briefings Bioinform. 23(3) (2022) - [j5]Jingsi Ming, Zhixiang Lin, Jia Zhao, Xiang Wan, Tabula Microcebus Consortium, Can Yang, Angela Ruohao Wu:
FIRM: Flexible integration of single-cell RNA-sequencing data for large-scale multi-tissue cell atlas datasets. Briefings Bioinform. 23(5) (2022) - [j4]Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Tabula Microcebus Consortium, Angela Ruohao Wu, Can Yang:
Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets. Nat. Comput. Sci. 2(5): 317-330 (2022) - [i2]Pengcheng Zeng, Zhixiang Lin:
scICML: Information-theoretic Co-clustering-based Multi-view Learning for the Integrative Analysis of Single-cell Multi-omics data. CoRR abs/2205.09523 (2022) - 2021
- [j3]Jiaxuan Wangwu, Zexuan Sun, Zhixiang Lin:
scAMACE: model-based approach to the joint analysis of single-cell data on chromatin accessibility, gene expression and methylation. Bioinform. 37(21): 3874-3880 (2021) - [j2]Pengcheng Zeng, Zhixiang Lin:
coupleCoC+: An information-theoretic co-clustering-based transfer learning framework for the integrative analysis of single-cell genomic data. PLoS Comput. Biol. 17(6) (2021) - 2020
- [i1]Pengcheng Zeng, Zhixiang Lin:
Elastic Coupled Co-clustering for Single-Cell Genomic Data. CoRR abs/2003.12970 (2020)
2010 – 2019
- 2018
- [j1]Zhiqiong Wang, Junchang Xin, Peishun Sun, Zhixiang Lin, Yudong Yao, Xiaosong Gao:
Improved lung nodule diagnosis accuracy using lung CT images with uncertain class. Comput. Methods Programs Biomed. 162: 197-209 (2018) - 2017
- [c1]Zhiqiong Wang, Zhixiang Lin, Lining Xu, Yue Zhao, Junchang Xin:
Batch images compression algorithm based on the common features. CISP-BMEI 2017: 1-6
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