Loading…
Every biological foundation model, evaluated and ranked by the bio.rodeo team
Showing 1129–1152 of 2565 models
Allele-free HLA class I epitope classification from peptide sequence alone, via LoRA-adapted ESM-2 with parallel CNN and Transformer branches.
Spatial transcriptomics resolution enhancement from expression alone, using a tri-oriented Mamba encoder to predict expression between capture spots.
Multi-scale ECG-language model that aligns 12-lead ECG signals with clinical text at token, beat, and rhythm levels for zero-shot cardiac diagnosis.
Multimodal transformer predicting alternative splicing outcomes across C. elegans neuron subtypes, reaching Spearman ρ = 0.88 on held-out exons.
Text-prompted pathology image segmentation across 160 tissue, cell, and nuclei categories, replacing point and box inputs with natural language.
CATH superfamily classifier over ProstT5 amino-acid and 3Di structural-alphabet embeddings, reaching 92.2% accuracy on roughly 1,700 superfamilies.
Antibody sequence-structure co-design diffusion model adding atom-level equivariant geometry to residue embeddings, raising CDR-H3 recovery to 38.9%.
Protein complex model quality assessment via DockQ-guided graph contrastive learning. CASP16 TMscore ranking loss of 0.123 versus 0.138 runner-up.
Single-cell perturbation response prediction using dual conditional diffusion bridges that link unpaired control and perturbed populations.
De novo peptide sequencing from tandem mass spectra with a non-autoregressive Transformer trained on 100 million peptide-spectrum matches.
Generative foundation model for intracranial EEG whose attention separates content, time and channel, so one checkpoint fits any electrode montage.
Single-cell diaPASEF proteomics search that scores coelution with a pretrained CNN and returns a protein matrix with no missing values.
Decoder-only transformer that recasts ancestral recombination graph inference as next-token prediction, estimating coalescence times from variation.
Alignment-free taxonomic classification of eukaryotic DNA in metagenomes. Reaches an F1 of 0.871 on 500 bp contigs, where k-mer tools falter.
Genome-anchored histopathology embeddings that predict molecular biomarkers, subtypes, and survival from whole-slide images alone at inference.
Molecular conformer generation from 2D graphs with a diffusion transformer that replaces equivariant layers with graph shortest-path attention biases.
5.6M-parameter multimodal foundation model fusing fMRI time series with diffusion-MRI structural connectivity in a shared ROI embedding space.
Protein inter-residue distance prediction fusing MSA Transformer coevolution with ESM2 sequence features, reaching a mean absolute error of 2.20 Å.
Transformer pretrained on raw fNIRS brain signals that scores procedural skill and transfers to unseen surgical procedures via a tiny adapter.
CLIP-based vision-language foundation model for eye imaging, enabling zero-shot disease detection and cross-modal retrieval across 11 modalities.
Medical multimodal LLM (2B and 8B) trained for generalizable, step-by-step clinical reasoning via Mentor-Intern Collaborative Search.