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Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 121–144 of 400 filtered models
Hierarchical transformer with 1.2 billion parameters that predicts personalized gene expression from diploid genomes for variant effect prediction.
Multimodal EHR foundation model that fuses polygenic risk scores into a GPT-2-style backbone by cross-attention for zero-shot disease risk prediction.
Transcription factor binding site prediction model that refines a DNABERT-2 backbone with contrastive learning across diverse TFBS types.
Self-supervised models that embed gut metagenomic abundance profiles for robust phenotype prediction in data-limited, cross-cohort settings.
Efficient sequence-to-function transformer for regulatory genomics, matching Borzoi-class models while training in about a day on a single GPU.
Tabular foundation model adapted for extreme feature counts, enabling in-context prediction on wide omics tables with tens of thousands of features.
Nucleic acid inverse-folding network that designs RNA sequences for a target 3D backbone and predicts protein-DNA binding specificity.
Scientific multitask language model whose byte-level genome modeling beats Evo 7B on DNA perplexity and mutation-effect prediction at 1.5B params.
DNA sequence embedding model that approximates edit distance via contrastive fine-tuning of DNABERT-2, improving similar-sequence search accuracy.
Multi-label classifier over ESM-2 embeddings that separates DNA-binding, RNA-binding, and dual-binding proteins using label-aware attention.
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.
Splice donor and acceptor site prediction from raw DNA, scoring every position of a 20 kb window with an ensemble of dilated residual CNNs.
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.
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.