aiBACKGROUND
CellWorld: From Gene-Level Reconstruction to Latent Cell Prediction in Spatial T
BACKGROUND
1 SIGNALFIRST DETECTED 10 August 2026
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10 Aug
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16 Sept
Towards a knowledge-enhanced single-cell foundation model
arXiv:2609.14970v1 Announce Type: new Abstract: Single-cell foundation models (scFMs) increasingly rely on large-scale transcriptomic pretraining, yet expanding pretraining data
REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
SCALE:Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction
arXiv:2603.17380v2 Announce Type: replace-cross Abstract: Virtual cell models aim to enable in silico experimentation by predicting how cells respond to genetic, chemical, or
REPORT · HOW · ArXiv CS.AIOPEN STORY
15 Jun
CisTransCell: Single-Cell Perturbation Prediction via Gene Function, Regulatory Control, and Cellular Context
arXiv:2606.13713v1 Announce Type: cross Abstract: Predicting cellular transcriptional responses to genetic perturbations is a central problem in single-cell biology, especially in
REPORT · WHERE · ArXiv CS.AIOPEN STORY
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