Mengsha Tong

According to our database, Mengsha Tong authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

AFD-INSTRUCTION: A Comprehensive Antibody Instruction Dataset with Functional Annotations for LLM-Based Understanding and Design.

Ling Luo, Wenbin Jiang, Hongyuan Chang, Xinkang Wang, Xushi Zhang, Yueting Xiong, Mengsha Tong, Rongshan Yu

CoRR, February, 2026

2025

Deciphering cell states and the cellular ecosystem to improve risk stratification in acute myeloid leukemia.

Zheyang Zhang, Ronghan Tang, Ming Zhu, Zhijuan Zhu, Jiali Zhu, Hua Li, Mengsha Tong, Nainong Li, Jialiang Huang

Briefings Bioinform., January, 2025

2024

PathMethy: an interpretable AI framework for cancer origin tracing based on DNA methylation.

Jiajing Xie, Yuhang Song, Hailong Zheng, Shijie Luo, Ying Chen, Chen Zhang, Rongshan Yu, Mengsha Tong

Briefings Bioinform., November, 2024

ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics.

Yuxiang Lin, Ling Luo, Ying Chen, Xushi Zhang, Zihui Wang, Wenxian Yang, Mengsha Tong, Rongshan Yu

CoRR, 2024

PhosMap: An ensemble bioinformatic platform to empower interactive analysis of quantitative phosphoproteomics.

Mengsha Tong, Zan Liu, Jiaao Li, Xin Wei, Wenhao Shi, Chenyu Liang, Chunyu Yu, Rongting Huang, Yuxiang Lin, Xinkang Wang, Shun Wang, Yi Wang, Jialiang Huang, Yini Wang, Tingting Li, Jun Qin, Dongdong Zhan, Zhi-Liang Ji

Comput. Biol. Medicine, 2024

SIMarker: Cellular similarity detection and its application to diagnosis and prognosis of liver cancer.

Mengsha Tong, Shijie Luo, Lin Gu, Xinkang Wang, Zheyang Zhang, Chenyu Liang, Huaqiang Huang, Yuxiang Lin, Jialiang Huang

Comput. Biol. Medicine, 2024

2023

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

Mengsha Tong, Yuxiang Lin, Wenxian Yang, Jinsheng Song, Zheyang Zhang, Jiajing Xie, Jingyi Tian, Shijie Luo, Chenyu Liang, Jialiang Huang, Rongshan Yu

Briefings Bioinform., May, 2023

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysis.

Danni Hong, Hongli Lin, Lifang Liu, Muya Shu, Jianwu Dai, Falong Lu, Mengsha Tong, Jialiang Huang

Briefings Bioinform., January, 2023

2022

Application of individualized differential expression analysis in human cancer proteome.

Yachen Liu, Yalan Lin, Wenxian Yang, Yuxiang Lin, Yujuan Wu, Zheyang Zhang, Nuoqi Lin, Xianlong Wang, Mengsha Tong, Rongshan Yu

Briefings Bioinform., 2022