Yusri Dwi Heryanto

This study simulates how radiotherapy affects cancer stem cell evolution, showing increased resistance, proliferation, and CSC proportion, and highlights the importance of CSC-targeted treatment.

The paper introduces scVQC, a supervised representation learning method for cell-type annotation, and shows it outperforms unsupervised and pre-trained foundation models in tissue-specific annotation.

This paper introduces SCLSC, a supervised contrastive learning method for cell type annotation in scRNA-seq data, achieving better accuracy and scalability than existing methods.

The paper proposes a method to integrate cell shape and movement analysis using a moving frame coordinate system to study their relationship over time.