Search Results

STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model.

• Authors : Lin, Lixian^1,2 (AUTHOR); Wang, Haoyu¹ (AUTHOR); Chen, Yuxiao¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2025, Vol. 26 Issue 1, p1-14. 14p.

Record details

TransIntegrator: capture nearly full protein-coding transcript variants via integrating Illumina and PacBio transcriptomes.

• Authors : Lin, Zhe^1,2 (AUTHOR); Qin, Yangmei¹ (AUTHOR); Chen, Hao¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Nov2023, Vol. 24 Issue 6, p1-10. 10p.

Record details

scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks.

• Authors : Wang, Tao^1,2 (AUTHOR) ; Zhao, Hui³ (AUTHOR); Xu, Yungang⁴ (AUTHOR)

• Source: Briefings in Bioinformatics. Nov2023, Vol. 24 Issue 6, p1-13. 13p.

Record details

Prioritizing prognostic-associated subpopulations and individualized recurrence risk signatures from single-cell transcriptomes of colorectal cancer.

• Authors : Tong, Mengsha^1,2 (AUTHOR) ; Lin, Yuxiang² (AUTHOR); Yang, Wenxian³ (AUTHOR)

• Source: Briefings in Bioinformatics. May2023, Vol. 24 Issue 3, p1-13. 13p.

Record details

Scalable batch-correction approach for integrating large-scale single-cell transcriptomes.

• Authors : Shen, Xilin¹ (AUTHOR); Shen, Hongru¹ (AUTHOR); Wu, Dan¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2022, Vol. 23 Issue 5, p1-13. 13p.

Record details

universal approach for integrating super large-scale single-cell transcriptomes by exploring gene rankings.

• Authors : Shen, Hongru¹ (AUTHOR); Shen, Xilin¹ (AUTHOR); Feng, Mengyao¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Mar2022, Vol. 23 Issue 2, p1-13. 13p.

Record details

scESI: evolutionary sparse imputation for single-cell transcriptomes from nearest neighbor cells.

• Authors : Liu, Qiaoming¹ (AUTHOR); Luo, Ximei^2,3 (AUTHOR); Li, Jie¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Sep2022, Vol. 23 Issue 5, p1-16. 16p.

Record details

Integrated bulk and single-cell transcriptomes reveal pyroptotic signature in prognosis and therapeutic options of hepatocellular carcinoma by combining deep learning.

• Authors : Liu, Yang¹ (AUTHOR); Li, Hanlin¹ (AUTHOR); Zeng, Tianyu¹ (AUTHOR)

• Source: Briefings in Bioinformatics. Jan2024, Vol. 25 Issue 1, p1-15. 15p.

Record details

Sincast: a computational framework to predict cell identities in single-cell transcriptomes using bulk atlases as references.

• Authors : Deng, Yidi^1,2 (AUTHOR); Choi, Jarny¹ (AUTHOR); Cao, Kim-Anh Lê¹ (AUTHOR)

• Source: Briefings in Bioinformatics. May2022, Vol. 23 Issue 3, p1-15. 15p.

Record details

Correction to: STMGraph: spatial-context-aware of transcriptomes via a dual-remasked dynamic graph attention model

Subjects: Correction

• Source: Brief Bioinform

Record details