PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects
Ranking
Overall
82
Content
100
Popularity
40
Observed public metrics from 1 member.
Merged summary
TL;DR - PertReason is a benchmark and framework for evaluating whether models explain single-cell perturbation effects with mechanisms grounded in cell-specific states. It exposes failures that predictive accuracy alone misses, including correct answers derived from flawed or context-insensitive reasoning.
- PertReasonQA combines genetic and chemical perturbation data across cellular contexts with knowledge graphs.
- Dynamic pathway conditioning tests robustness to unseen perturbations, new cells, and differing basal states.
- Evaluated models sometimes ignore cellular context or produce directionally inconsistent mechanisms.
- PertReasonLM aligns outcome predictions with context-specific, pathway-grounded rationales as a reference approach.
Sources (1)
PertReason: A Knowledge-Grounded Benchmark and Framework for Cell-State-Conditioned Mechanistic Reasoning of Perturbation Effects
Public signals
Semantic Scholar citations 0 · Semantic Scholar influential citations 0
TL;DR - PertReason is a benchmark and framework for evaluating whether models explain single-cell perturbation effects with mechanisms grounded in cell-specific states. It exposes failures that predictive accuracy alone misses, including correct answers derived from flawed or context-insensitive reasoning.
- PertReasonQA combines genetic and chemical perturbation data across cellular contexts with knowledge graphs.
- Dynamic pathway conditioning tests robustness to unseen perturbations, new cells, and differing basal states.
- Evaluated models sometimes ignore cellular context or produce directionally inconsistent mechanisms.
- PertReasonLM aligns outcome predictions with context-specific, pathway-grounded rationales as a reference approach.