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TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
A tool for cell instance aware segmentation in densely packed 3D volumetric images
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
TypeDB Bio: Biomedical Knowledge Graph
Autonomous multi-agent framework to optimize scientific software
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
MCP server for spatial transcriptomics analysis through natural language interfaces.
Tool for segmentation in bioimaging
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Fast, deterministic cell-type deconvolution for million-bin spatial transcriptomics
Mongoengine Pyramid extension