CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
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CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
means completeness and balancing, from the Arabic word الجبر
:dart: Accurate sums and dot products for Python.
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
Research experiments exploring uncommon quant techniques.
Tiny header-only C++17 library for lat/lng geometry: distance, bearing, area, point-in-polygon and path proximity
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
A weather server supporting Campbell Scientific and Davis Instruments stations with lots of data-sharing options
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Decimal handling as value object instead of plain strings or floats.
Ring solver for Idris
Simple, reliable .NET libraries covering numbers, geometry and data structures
High performance, zero-allocation, low memory usage (8 bytes), low precision (17 digits), partially compatible with int64 and shopspring Decimal