Biological AI Comparison Hub
4 papers - avg viability 4.0
Top Papers
- Discovery of a Hematopoietic Manifold in scGPT Yields a Method for Extracting Performant Algorithms from Biological Foundation Model Internals(7.0)
A novel method for extracting efficient algorithms from biological foundation models, enhancing performance in hematopoietic analysis.
- BABE: Biology Arena BEnchmark(5.0)
Evaluate AI systems' biological reasoning with the comprehensive BABE benchmark.
- Exhaustive Circuit Mapping of a Single-Cell Foundation Model Reveals Massive Redundancy, Heavy-Tailed Hub Architecture, and Layer-Dependent Differentiation Control(2.0)
This paper explores mechanistic interpretability in biological foundation models through advanced experimental techniques.
- A Multi-Label Temporal Convolutional Framework for Transcription Factor Binding Characterization(2.0)
A deep learning framework for predicting transcription factor binding sites using multi-label classification.