CellxPert uses inference-time MCMC steering on a multi-omics single-cell foundation model to predict genome-wide transcriptomic responses to gene perturbations and outperforms baselines on cell-type annotation, perturbation prediction, and multi-omic integration benchmarks.
Data matrix normalization and merging strategies minimize batch-specific systemic variation in scrna-seq data.bioRxiv, pp
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CellxPert: Inference-Time MCMC Steering of a Multi-Omics Single-Cell Foundation Model for In-Silico Perturbation
CellxPert uses inference-time MCMC steering on a multi-omics single-cell foundation model to predict genome-wide transcriptomic responses to gene perturbations and outperforms baselines on cell-type annotation, perturbation prediction, and multi-omic integration benchmarks.