GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
IEEE

PME-MER: Efficient Position and Motion Encoder for Micro-Expression Recognition

Abstract: Facial micro-expressions (MEs) are caused by brief and subtle movements of facial muscles, revealing a person's genuine emotions and offering valuable insights into lie detection, criminal ...
IEEE

Micro-Expression Recognition Using Convolutional Variational Attention Transformer (ConVAT) With Multihead Attention Mechanism

Abstract: Micro-Expression Recognition is crucial in various fields such as behavioral analysis, security, and psychological studies, offering valuable insights into subtle and often concealed ...
GitHub

Integrating Chemical Structure and Transcriptional Responses via Dual-Encoder Contrastive Learning for Drug Repurposing

¹Interdisciplinary Program in Bioinformatics, Seoul National University ²Department of Defense Science, Korea National Defense University ³Department of Computer Science, Seoul National University ...