Analyze the active regulatory region of DNA using FFNN and CNN
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Updated
Mar 29, 2021 - Python
Analyze the active regulatory region of DNA using FFNN and CNN
squid repository for manuscript analysis
Deep learning model for non-coding regulatory variants
Threshold and p-value computations for Position Weight Matrices
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
Prediction of transcription factor binding based on DNA sequence
Data-driven design of context-specific regulatory elements
A Hugo-based deployment of biocomputeobject.org
A set of tutorials for how to use all the tools in ML4GLand
Motif representation and analysis toolkit in Python
Deep Unfolded Convolutional Dictionary Learning for motif discovery.
Genomic sequence preprocessing toolkit
Interpreting sequence-to-function machine learning models
surrogate quantitative interpretability for deepnets
lsgkm+gkmexplain with regression functionality. Builds off kundajelab/lsgkm (which has gkmexplain), which in turn builds off Dongwon-Lee/lsgkm (the original lsgkm repo)
Elucidating the Utility of Genomic Elements with Neural Nets
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
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