All Competitors

Tissue-specific histological aging clocks that read biological age and per-organ age gaps from H&E whole-slide images and from blood gene expression.

Cell-type-specific gene expression prediction from DNA sequence, mapping Enformer epigenomic features to pseudobulk expression for cell-resolved TWAS.

Conditional autoregressive genomic language model trained on 13.6M mammalian promoters, scoring promoter variants, including indels, zero-shot.

Protein language models that split translated algal genomes into real genes and contaminants, classifying the dark proteome without homology search.

Transcription factor binding site prediction in regulatory DNA from accessibility, motifs and TF expression. One fixed model covers unseen factors.

CRISPR editing outcome prediction returning a probability over the near-full indel spectrum, with few-shot transfer to new cell types and to embryos.

Prokaryotic promoter design and zero-shot promoter-strength ranking from a nucleotide language model pretrained on 17,806 microbial genomes.

Genomic language model on a recurrent xLSTM backbone, with reverse-complement equivariant blocks and single-nucleotide context up to 32,768 bases.

Imaging-genetics foundation model pairing SNP genotypes with brain-MRI phenotypes by contrastive learning to surface many-to-many associations.

Metagenomic read binning from tetranucleotide k-mer profiles, using a contrastive two-layer encoder trained on split halves of unlabeled reads.

Whole-genome somatic copy-number aberration prediction from bulk RNA-seq alone, with one pan-cancer model covering 33 tumor types.

Hi-C contact map super-resolution that adds interaction frequencies imputed from DNase-seq accessibility so one cell line's model transfers to others.

RNA language model built from bidirectional Mamba2 blocks with a flash-attention head, pretrained on 100 million sequences up to 2,048 nucleotides.

DNA methylation foundation model over 49,156 array CpG sites. Imputes missing values, embeds samples, and predicts epigenetic age and disease risk.

Poly(A)-tail length change predicted from mRNA 3' UTR sequence in maturing oocytes, scoring how single-nucleotide variants disrupt tail lengthening.

Chromatin accessibility prediction across 29 human immune cell types, using in-silico saturated mutagenesis to score constrained regulatory regions.

Frugal conditional diffusion model that samples human SNP haplotypes in PCA space, producing artificial genomes for a chosen continental ancestry.

DNA methylation foundation model reconstructing genome-wide profiles from sparse input. Outperforms GrimAge2 aging clocks on mortality prediction.

Genomic language model that labels adapter sequences in nanopore direct-RNA reads base by base, then splits the chimeric reads those adapters create.

Genomic sequence classification answered through natural-language prompts by one GPT-2 pretrained on mixed DNA and English under one BPE vocabulary.

Autoregressive temporal convolutional network for synthetic yeast promoter design, trained with guidance from a sequence-to-expression predictor.

Context-only BERT for bacterial protein function prediction, reading genomes as sentences of protein-cluster tokens with no sequence input.

Mixed-modal DNA, RNA, and protein foundation model at 110M and 270M parameters, with in-context learning across sequence modalities.