TxPert uses graph neural networks over multiple gene interaction graphs to predict transcriptional responses to unseen single, double, and cross-cell-line perturbations, outperforming GEARS and scLAMBDA in benchmark tests.
Cellplm: pre-training of cell language model beyond single cells.BioRxiv, pp
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TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction
TxPert uses graph neural networks over multiple gene interaction graphs to predict transcriptional responses to unseen single, double, and cross-cell-line perturbations, outperforming GEARS and scLAMBDA in benchmark tests.