Article

Tabular Foundation Models Are Competitive Cellular Perturbation Predictors Across Biological Scales

2026-07-01

Abstract excerpt

Predicting how cells respond to genetic and chemical perturbations is a central challenge in drug discovery and functional genomics. A growing ecosystem of specialized single-cell foundation models has been developed to address this problem, yet their practical advantage over domain-agnostic approaches remains unclear. Here we evaluate the power of Tabular Foundation Models such as TabICL and TabPFN, general-purpo...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: cac9f2d8-37f5-5368-8bba-5302d31b27d5
DOI: 10.64898/2026.06.28.735106

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Tabular Foundation Models Are Competitive Cellular Perturbation Predictors Across Biological ScalesDOI 10.64898/2026.06.28.735106Read

Stack: In-Context Learning of Single-Cell BiologySemantic proximity Read

pertTF: context-aware AI modeling for genome-scale and cross-system perturbation predictionSemantic proximity Read

Benchmarking a foundational cell model for post-perturbation RNAseq predictionSemantic proximity Read

Tahoe-x1: Scaling Perturbation-Trained Single-Cell Foundation Models to 3 Billion ParametersSemantic proximity Read

Multimodal foundation model predicts zero-shot functional perturbations and cell fate dynamicsSemantic proximity Read

Benchmarking AI Models for <i>In Silico</i> Gene Perturbation of CellsSemantic proximity Read

UniCure: A Foundation Model for Predicting Personalized Cancer Therapy ResponseSemantic proximity Read

Scalable and universal prediction of cellular phenotypes enables in silico experimentsSemantic proximity Read

Learning Perturbation-specific Cell Representations for Prediction of Transcriptional Response across Cellular ContextsSemantic proximity Read

GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with Knowledge-Informed Cross-Species Foundation ModelSemantic proximity Read

AetherCell: A generative engine for virtual cell perturbation and <i>in vivo</i> drug discoverySemantic proximity Read

Signature Recontextualization: Mapping perturbational signatures across biological contextsSemantic proximity Read