
X Zhang, L Shang, S Hou, J Li, K Yang, F Lai, P Tian, Y Zheng, G Su, T Xu
iScience 2026
A study on using large language models to predict one-year major adverse cardiovascular events in acute coronary syndrome.
X Zhang, L Shang, S Hou, J Li, K Yang, F Lai, P Tian, Y Zheng, G Su, T Xu
iScience 2026
A study on using large language models to predict one-year major adverse cardiovascular events in acute coronary syndrome.

S Hou, P Yang, W Ma, JX Wang, X Zhou
bioRxiv preprint. 2026
A unified framework for deploying and benchmarking single-cell foundation models in a more accessible and reproducible way.
S Hou, P Yang, W Ma, JX Wang, X Zhou
bioRxiv preprint. 2026
A unified framework for deploying and benchmarking single-cell foundation models in a more accessible and reproducible way.

W Ma, S Hou, L Shang, J Lu, X Zhou
bioRxiv preprint. 2025
A preprint using optimal transport modeling to characterize spatial domain dynamics in spatiotemporal transcriptomics.
W Ma, S Hou, L Shang, J Lu, X Zhou
bioRxiv preprint. 2025
A preprint using optimal transport modeling to characterize spatial domain dynamics in spatiotemporal transcriptomics.

X Chen*, X Jiang*, S Hou*, F Lai, K Hu, J Li, T Yang, X Shen, H Chen (* equal contribution)
Metabolism 2025
A study on the role of meteorin-like protein in foam cell formation and atherosclerosis through KIT-endoplasmic reticulum stress signaling.
X Chen*, X Jiang*, S Hou*, F Lai, K Hu, J Li, T Yang, X Shen, H Chen (* equal contribution)
Metabolism 2025
A study on the role of meteorin-like protein in foam cell formation and atherosclerosis through KIT-endoplasmic reticulum stress signaling.

S Hou, W Ma, X Zhou
Nature Communications 2025
A scalable framework for robust cell-cell communication analysis in single-cell transcriptomics without costly permutation procedures.
S Hou, W Ma, X Zhou
Nature Communications 2025
A scalable framework for robust cell-cell communication analysis in single-cell transcriptomics without costly permutation procedures.

R Huang, X Jiang, S Hou, J Li
Circulation 2024
A conference abstract on phenylacetylglutamine, endothelial senescence, and early-stage atherosclerosis.
R Huang, X Jiang, S Hou, J Li
Circulation 2024
A conference abstract on phenylacetylglutamine, endothelial senescence, and early-stage atherosclerosis.

T He, L Xiao, Y Qiao, O Klingbeil, E Young, XS Wu, R Mannan, S Hou, et al.
Cancer Cell 2024
A study on targeting the mSWI/SNF complex in transcription factor-driven malignancies.
T He, L Xiao, Y Qiao, O Klingbeil, E Young, XS Wu, R Mannan, S Hou, et al.
Cancer Cell 2024
A study on targeting the mSWI/SNF complex in transcription factor-driven malignancies.

T He, C Cheng, Y Qiao, H Cho, E Young, R Mannan, S Mahapatra, S Hou, et al.
Proceedings of the National Academy of Sciences 2024
A study on an orally bioavailable mSWI/SNF ATPase degrader and resistance mechanisms in prostate cancer.
T He, C Cheng, Y Qiao, H Cho, E Young, R Mannan, S Mahapatra, S Hou, et al.
Proceedings of the National Academy of Sciences 2024
A study on an orally bioavailable mSWI/SNF ATPase degrader and resistance mechanisms in prostate cancer.

R Huang, J Li, K Hu, R Xu, H Yuan, J Wang, M Gao, Q Xiao, B Dong, S Hou
iMetaOmics 2024
A cohort profile describing a longitudinal multi-omics study of patients with acute coronary syndrome.
R Huang, J Li, K Hu, R Xu, H Yuan, J Wang, M Gao, Q Xiao, B Dong, S Hou
iMetaOmics 2024
A cohort profile describing a longitudinal multi-omics study of patients with acute coronary syndrome.

R Huang, F Lai, S Hou
Circulation 2023
A conference abstract on the role of Metrnl deficiency in plaque destabilization and acute coronary syndrome risk.
R Huang, F Lai, S Hou
Circulation 2023
A conference abstract on the role of Metrnl deficiency in plaque destabilization and acute coronary syndrome risk.

C Ma, C Gao, S Hou, S Li
bioRxiv preprint. 2023
A robust attention-based deep learning model for smartphone-based tongue diagnosis.
C Ma, C Gao, S Hou, S Li
bioRxiv preprint. 2023
A robust attention-based deep learning model for smartphone-based tongue diagnosis.

S Hou, K Tian, S Yang, J Xiang, W Yang, J Zhang, X Han
bioRxiv preprint. 2022
A preprint on reconstructing in situ single-cell spatial transcriptomics by integrating high-resolution histology images.
S Hou, K Tian, S Yang, J Xiang, W Yang, J Zhang, X Han
bioRxiv preprint. 2022
A preprint on reconstructing in situ single-cell spatial transcriptomics by integrating high-resolution histology images.

J Cui, S Hou, B Liu, M Yang, L Wei, S Du, S Li
BMC Medical Genomics 2022
A study connecting tongue coating and gastric fluid microbiomes in gastritis patients through species composition and diversity analysis.
J Cui, S Hou, B Liu, M Yang, L Wei, S Du, S Li
BMC Medical Genomics 2022
A study connecting tongue coating and gastric fluid microbiomes in gastritis patients through species composition and diversity analysis.

S Hou*, P Zhang*, K Yang*, L Wang, C Ma, Y Li, S Li (* equal contribution)
Briefings in Bioinformatics 2022
A systems-level study that models multilevel relationships across tissues, cell types, and molecules in the human body.
S Hou*, P Zhang*, K Yang*, L Wang, C Ma, Y Li, S Li (* equal contribution)
Briefings in Bioinformatics 2022
A systems-level study that models multilevel relationships across tissues, cell types, and molecules in the human body.

D Wang*, S Hou*, L Zhang, X Wang, B Liu, Z Zhang (* equal contribution)
Genome Biology 2021
A transfer-learning framework for integrating multiple single-cell datasets through adversarial paired networks.
D Wang*, S Hou*, L Zhang, X Wang, B Liu, Z Zhang (* equal contribution)
Genome Biology 2021
A transfer-learning framework for integrating multiple single-cell datasets through adversarial paired networks.

Q Ding, S Hou, S Zu, Y Zhang, S Li
Bioinformatics 2020
An interactive analysis tool for interpreting chemical features captured by deep neural network QSAR models.
Q Ding, S Hou, S Zu, Y Zhang, S Li
Bioinformatics 2020
An interactive analysis tool for interpreting chemical features captured by deep neural network QSAR models.