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Yaosen Min

Showing results (1-10 of 4) with videos related to

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Nature Communications|November 22, 2023
A knowledge-guided pre-training framework for improving molecular representation learningHan Li, Ruotian Zhang, Yaosen Min, et al.
Nature Cell Biology|October 3, 2025
CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifoldTianze Wang, Yan Pan, Fusong Ju, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 29, 2024
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep LearningYaosen Min, Ye Wei, Peizhuo Wang, et al.
Biorxiv : the Preprint Server for Biology|September 15, 2025
STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics dataLei Hu, Shichen Zhang, Xuting Zhang, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Nature Communications|November 22, 2023
A knowledge-guided pre-training framework for improving molecular representation learningHan Li, Ruotian Zhang, Yaosen Min, et al.
Nature Cell Biology|October 3, 2025
CellNavi predicts genes directing cellular transitions by learning a gene graph-enhanced cell state manifoldTianze Wang, Yan Pan, Fusong Ju, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|August 29, 2024
From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep LearningYaosen Min, Ye Wei, Peizhuo Wang, et al.
Biorxiv : the Preprint Server for Biology|September 15, 2025
STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics dataLei Hu, Shichen Zhang, Xuting Zhang, et al.
Pageof 1