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🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
The main analysis scripts used in this study "Single-cell profiling reveals immunoregulation of artemisinin on CD8+GZMB+ T cells via JAK2-STAT3 in malaria-infected mice"
The simplest, fastest repository for training/finetuning small-sized VLMs.
Attention is all you need implementation
The most open diffusion language model for code generation — releasing pretraining, evaluation, inference, and checkpoints.
This repository hosts the software of GEMORNA, a generative AI tool for mRNA sequence design.
A game theoretic approach to explain the output of any machine learning model.
We report a section-wide NLRome for the tuber-bearing section Petota, including the most important non-cereal food crop potato. Evolutionary genomics and functional analyses discover new late bligh…
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Designing antimicrobial peptides (AMPs) is awesome.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
HydrAMP: a deep generative model for antimicrobial peptide discovery
Code for paper "ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning"
A novel approach to the classification of antimicrobial peptides (AMPs) using pre-trained language models to create contextual vectorized embeddings of each peptide sequence before a convolutional …
LLMs for high-throughput mining and generation of antimicrobial peptides
Finetuning ProGen2 protein language model for generation of protein sequences from selected protein families.
Antimicrobial Peptide Structural Evolution Miner (AMP-SEMiner), an integrated AI framework designed for the simultaneous identification of antimicrobial peptides (AMPs) as small open reading frames…
Fitness landscape exploration sandbox for biological sequence design.