dogear

enter for all results · esc to close

TxPert

github.comtool

Knowledge-graph-informed latent-transfer model for transcriptomic perturbation prediction across unseen single perturbations, combinations, and cross-context settings.

from
Computational Biology
added
2026-10-10
likes
0

similar

  1. XPert github.com

    Knowledge-informed dual-branch Transformer for drug-induced transcriptional perturbation prediction across dose, time, and cellular context.

  2. PerturbRx arxiv.org

    Treatment-conditioned representation learning framework that transfers drug-induced latent transitions learned from single-cell perturbation data to patient-level cancer treatment-response prediction.

  3. chemCPA github.com

    Compositional perturbation autoencoder for predicting single-cell transcriptional responses to unseen drug perturbations and dose combinations.

  4. THERAPI github.com

    Cell-line-to-patient transfer framework that aligns tumor transcriptomes with cancer cell lines and integrates perturbation and gene-level representations for patient drug response prediction.

  5. GEARS github.com

    Graph-based model for predicting transcriptional responses to single and combinatorial genetic perturbations using biological priors.

  6. LPM github.com

    Large perturbation model that jointly learns heterogeneous perturbation experiments by disentangling perturbation, readout, and context representations.

Computational Biology › Machine Learning Tasks and Models > Drug Discovery > Drug Perturbation: “Knowledge-graph-informed latent-transfer model for transcriptomic perturbation prediction across unseen single perturbations, combinations, and cross-context settings.”