{"skill":{"slug":"in-silico-perturbation-oracle-1","displayName":"In Silico Perturbation Oracle","summary":"Virtual gene knockout simulation using foundation models to predict transcriptional changes","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":90,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775112253484,"updatedAt":1775112712739},"latestVersion":{"version":"1.0.0","createdAt":1775112253484,"changelog":"In Silico Perturbation Oracle 1.0.0 – Initial Release\n\n- Provides a framework for virtual gene knockout simulations using biological foundation models (e.g. Geneformer, scGPT).\n- Predicts transcriptome changes, differentially expressed genes, and pathway impacts after in silico perturbations.\n- Supports multi-dimensional target scoring and ranking, plus interpretive visualization reports.\n- Modular input parameters and API for integration with custom/standard cell types and models.\n- Outputs include differential expression tables, pathway enrichment data, target prioritization, and visualizations.","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"aipoch-ai","userId":"s17fjw78yq6wtd4ep6zsaxwrn983hznr","displayName":"AIpoch","image":"https://avatars.githubusercontent.com/u/258999481?v=4"},"moderation":null}