debbiemarkslab / BEARLinks
This repository is for the paper "A generative nonparametric Bayesian model for whole genomes"
☆14Updated 2 years ago
Alternatives and similar repositories for BEAR
Users that are interested in BEAR are comparing it to the libraries listed below
Sorting:
- A package for making MuE observation models in Edward2.☆13Updated 4 years ago
- Epistatic Net is an algorithm which allows for spectral regularization of deep neural networks to predict biological fitness functions (e…☆18Updated 4 years ago
- Repository for the paper "Optimal design of stochastic DNA synthesis protocols based on generative sequence models" (Weinstein et al., AI…☆35Updated 3 years ago
- ☆33Updated 4 months ago
- A repository with exploration into using transformers to predict DNA ↔ transcription factor binding☆88Updated 3 years ago
- ☆36Updated last year
- Stochastic Sequence Propagation - A Keras Model for optimizing DNA, RNA and protein sequences based on a predictor☆50Updated last year
- Interpretable genotype-phenotype landscape modeling☆36Updated 2 years ago
- Interpretation by Deep Generative Masking for Biological Sequences☆37Updated 4 years ago
- Deep Exploration Networks - Diverse Deep Generative Models for DNA, RNA and Protein Sequences☆31Updated 4 years ago
- Modeling of human 5′ UTRs enables the design of new sequences for target levels of translation and 5′ UTR variant prediction.☆57Updated 6 years ago
- Evolutionary velocity with protein language models☆97Updated 2 months ago
- accurate prediction of promoter activity and variant effects from massive parallel reporter assays☆43Updated 7 months ago
- Mutation effects predicted from sequence co-variation☆72Updated 8 years ago
- PLM-interact: extending protein language models to predict protein-protein interactions.☆60Updated 5 months ago
- Learning Protein Constitutive Motifs from Sequence Data: RBM toolbox☆20Updated 7 years ago
- Repository for Protein-Vec, a protein embedding mixture of experts model☆38Updated 2 years ago
- Draw RNA secondary structures in python.☆49Updated 7 months ago
- Ledidi turns any machine learning model into a biological sequence editor, allowing you to design sequences with desired properties.☆100Updated last week
- Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Jo…☆67Updated 3 years ago
- Diverse Genomic Embedding Benchmark☆50Updated 5 months ago
- GraphPart, a data partitioning method for ML on biological sequences☆33Updated 2 years ago
- Cross-protein transfer learning for variant effect prediction☆20Updated 2 years ago
- ☆19Updated 11 months ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- ☆135Updated 3 years ago
- ☆110Updated 3 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- surrogate quantitative interpretability for deepnets☆24Updated 5 months ago
- ☆17Updated 7 months ago