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Minsheng Hao

Showing results (1-10 of 14) with videos related to

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Bioinformatics (Oxford, England)|June 24, 2021
SOMDE: a scalable method for identifying spatially variable genes with self-organizing mapMinsheng Hao, Kui Hua, Xuegong Zhang
Quantitative Biology (Beijing, China)|February 12, 2026
A perspective on developing foundation models for analyzing spatial transcriptomic dataTianyu Liu, Minsheng Hao, Xinhao Liu, et al.
Bioinformatics (Oxford, England)|August 22, 2024
scDiffusion: conditional generation of high-quality single-cell data using diffusion modelErpai Luo, Minsheng Hao, Lei Wei, et al.
Nature Communications|April 14, 2026
A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translationErpai Luo, Lei Wei, Minsheng Hao, et al.
National Science Review|November 18, 2024
General-purpose pre-trained large cellular models for single-cell transcriptomicsHaiyang Bian, Yixin Chen, Erpai Luo, et al.
Genome Research|April 10, 2025
TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics dataChen Li, Sijie Chen, Yixin Chen, et al.
Briefings in Bioinformatics|October 12, 2023
Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomicsHaochen Li, Tianxing Ma, Minsheng Hao, et al.
STAR Protocols|August 9, 2022
Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECAYixin Chen, Minsheng Hao, Haoxiang Gao, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
Current opinions on large cellular modelsMinsheng Hao, Lei Wei, Fan Yang, et al.
Nature Methods|June 6, 2024
Large-scale foundation model on single-cell transcriptomicsMinsheng Hao, Jing Gong, Xin Zeng, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|June 24, 2021
SOMDE: a scalable method for identifying spatially variable genes with self-organizing mapMinsheng Hao, Kui Hua, Xuegong Zhang
Quantitative Biology (Beijing, China)|February 12, 2026
A perspective on developing foundation models for analyzing spatial transcriptomic dataTianyu Liu, Minsheng Hao, Xinhao Liu, et al.
Bioinformatics (Oxford, England)|August 22, 2024
scDiffusion: conditional generation of high-quality single-cell data using diffusion modelErpai Luo, Minsheng Hao, Lei Wei, et al.
Nature Communications|April 14, 2026
A multi-modal diffusion model with dual-cross-attention for multi-omics data generation and translationErpai Luo, Lei Wei, Minsheng Hao, et al.
National Science Review|November 18, 2024
General-purpose pre-trained large cellular models for single-cell transcriptomicsHaiyang Bian, Yixin Chen, Erpai Luo, et al.
Genome Research|April 10, 2025
TFcomb identifies transcription factor combinations for cellular reprogramming based on single-cell multiomics dataChen Li, Sijie Chen, Yixin Chen, et al.
Briefings in Bioinformatics|October 12, 2023
Decoding functional cell-cell communication events by multi-view graph learning on spatial transcriptomicsHaochen Li, Tianxing Ma, Minsheng Hao, et al.
STAR Protocols|August 9, 2022
Protocol for profiling cell-centric assembled single-cell human transcriptome data in hECAYixin Chen, Minsheng Hao, Haoxiang Gao, et al.
Quantitative Biology (Beijing, China)|February 12, 2026
Current opinions on large cellular modelsMinsheng Hao, Lei Wei, Fan Yang, et al.
Nature Methods|June 6, 2024
Large-scale foundation model on single-cell transcriptomicsMinsheng Hao, Jing Gong, Xin Zeng, et al.
Pageof 2