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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 145–168 of 423 filtered models
Histopathology model predicting homologous recombination deficiency from H&E slides in ovarian cancer, reaching 0.846 AUC and 0.938 specificity.
Multimodal scientific foundation model unifying protein, DNA/RNA, and small-molecule structure in one token vocabulary for cross-domain reasoning.
Hierarchical transformer for virus discovery in metagenomes, classifying viral genomes across taxonomic ranks and flagging candidate novel lineages.
Phylogeny-aware genomic language model scoring variant effects from whole-genome alignments and species trees across three evolutionary timescales.
Yeast sequence-to-expression model pretrained as a masked DNA language model on 165 fungal genomes, predicting RNA-seq coverage and variant effects.
Isoform-resolved variant effect prediction from DNA sequence, using graph attention over transcript splice structures across 30 human tissues.
Splice donor and acceptor site prediction from raw DNA, scoring every position of a 20 kb window with an ensemble of dilated residual CNNs.
DNA methylation foundation model that learns blood aging as a continuous ODE and prescribes sparse CpG edits for in-silico rejuvenation.
Yeast sequence-to-expression model predicting strand-specific RNA-seq coverage across a 5 kb multi-gene window at 10 bp resolution.
Diploid de novo genome assembly that scores assembly-graph edges with a graph neural network and reconstructs phased haplotypes by beam search.
Transcription factor binding site prediction fusing DNA sequence with TF protein embeddings by cross-attention, generalizing zero-shot to unseen TFs.
Missense variant pathogenicity predictor that also ranks candidate diseases, aligning ESM-2 protein embeddings with PubMedBERT disease text.
Activation domain predictor scoring transcriptional activator strength from protein sequence, with a 20-model ensemble that reports uncertainty.
Antimicrobial resistance risk predictor using ESM2 embeddings of single protein mutations to flag resistance variants across bacterial pathogens.
Nucleotide language model for short metagenomic reads, assigning taxonomic domain, coding potential, and reading frame from reads down to 100 bp.
Cancer genomics foundation model embedding clinical gene-panel mutations into tumor subtype vectors. Pretrained on 30,328 tumors and 8 networks.
Genomic foundation model that jointly encodes DNA sequence and functional omics tracks into unified single-nucleotide and interval-level embeddings.
Antibiotic resistance gene detection in metagenomes, pairing frozen ESM-1v embeddings with light classifier heads for drug class and mechanism.
RNA language model pretrained on 30M non-coding RNA sequences that predicts secondary structure, contacts, and splice sites without alignments.
Genomic language model predicting drug-induced translational readthrough at premature stop codons, with an R2 of 0.94 across eight compounds.
Codon language model trained with synonymous-codon-constrained masking, so its embeddings encode nucleotide-level signal, not amino acid identity.
Simplex diffusion model for discrete sequence generation, with released checkpoints for DNA enhancer design and de novo protein sequence design.
Multimodal foundation model predicting genome-wide binding of chromatin-associated proteins from protein sequence, DNA sequence, and chromatin state.
Genomic DNA foundation model using ELECTRA-style replaced-token detection and single-nucleotide tokenization; 93M parameters rival 2.5B baselines.