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Biological models

Understand model architectures, biological inputs, access requirements and the evidence from linked evaluations.

59 model records in release 2026-09-22-f58a0f1d267f. Showing 49–59; page 3 of 3.

Evaluated configurations, methods and pipelines are listed separately. Names alone do not establish equivalent models or checkpoints.

  • scVI

    Single cell

    scVI models single-cell RNA counts with a probabilistic latent-variable model that accounts for observed covariates.

    Record: discovery-model-scvi

  • SegmentNT

    Genomics

    SegmentNT labels genomic elements at individual nucleotide positions using a pretrained DNA backbone.

  • SpliceAI

    DNA and genomes

    SpliceAI annotates sequence variants with predicted splice acceptor and donor changes.

    Record: catalog-model-spliceai

  • SpliceAI

    Genomics

    SpliceAI annotates sequence variants with predicted splice acceptor and donor changes.

    Record: discovery-model-spliceai

  • STATE

    Single cell

    State separates cellular representation learning from prediction of responses to perturbation.

  • SweetNet

    Glycomics

    SweetNet predicts glycan properties and produces learned representations from glycan graphs.

  • TAPE Bepler

    Protein function

    The TAPE Bepler comparison uses a protein representation that combines bidirectional language modelling with supervised structural pretraining.

  • TAPE LSTM

    Protein function

    The TAPE LSTM baseline represents protein sequences using recurrent networks that read residues in both directions.

  • TAPE ResNet

    Protein function

    The TAPE ResNet baseline represents protein sequences using residual convolutional blocks before a task-specific prediction head.

  • TAPE Transformer

    Protein function

    The TAPE Transformer learns contextual protein representations using masked-residue pretraining and a task-specific prediction head.

  • TAPE Unirep

    Protein function

    The TAPE UniRep baseline uses a multiplicative recurrent network to represent protein sequences for downstream tasks.

This index reflects a dated catalogue, not an exhaustive census. Source checking does not mean independent reproduction; compare results only under compatible protocols, datasets and metrics.