3 papers
cs.MA2026
SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery
Jiamin Wu, Peishan Xiang, Jingyang Chen +26
Modern neuroscience relies on integrating multi-scale, multimodal datasets to uncover the neural principles underlying intelligence. However, analytical challenges posed by highly…
q-bio.QM2026
AFD-INSTRUCTION: A Comprehensive Antibody Instruction Dataset with Functional Annotations for LLM-Based Understanding and Design
Ling Luo, Wenbin Jiang, Hongyuan Chang +5
Large language models (LLMs) have significantly advanced protein representation learning. However, their capacity to interpret and design antibodies through natural language remain…
cs.CV2024
ST-Align: A Multimodal Foundation Model for Image-Gene Alignment in Spatial Transcriptomics
Yuxiang Lin, Ling Luo, Ying Chen +5
Spatial transcriptomics (ST) provides high-resolution pathological images and whole-transcriptomic expression profiles at individual spots across whole-slide scales. This setting m…