🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
Elucidating the Utility of Genomic Elements with Neural Nets
surrogate quantitative interpretability for deepnets
Genomic sequence preprocessing toolkit
Data-driven design of context-specific regulatory elements
lsgkm+gkmexplain with regression functionality. Builds off kundajelab/lsgkm (which has gkmexplain), which in turn builds off Dongwon-Lee/lsgkm (the original lsgkm repo)
Interpreting sequence-to-function machine learning models
squid repository for manuscript analysis
A set of tutorials for how to use all the tools in ML4GLand
Threshold and p-value computations for Position Weight Matrices
Deep learning model for non-coding regulatory variants
Deep Unfolded Convolutional Dictionary Learning for motif discovery.
A curated list of regulatory genomics papers and resources.
Repository documenting applications of the ML4GLand suite on published datasets
Datasets for benchmarking, testing and developing in EUGENe
A Hugo-based deployment of biocomputeobject.org
Analyze the active regulatory region of DNA using FFNN and CNN
Motif representation and analysis toolkit in Python
Prediction of transcription factor binding based on DNA sequence
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