A set of tutorials for how to use all the tools in ML4GLand
-
Updated
Sep 20, 2023 - Jupyter Notebook
A set of tutorials for how to use all the tools in ML4GLand
Deep learning model for non-coding regulatory variants
A curated list of regulatory genomics papers and resources.
Analyze the active regulatory region of DNA using FFNN and CNN
squid repository for manuscript analysis
Repository documenting applications of the ML4GLand suite on published datasets
Datasets for benchmarking, testing and developing in EUGENe
Threshold and p-value computations for Position Weight Matrices
Prediction of transcription factor binding based on DNA sequence
Data-driven design of context-specific regulatory elements
A Hugo-based deployment of biocomputeobject.org
Deep Unfolded Convolutional Dictionary Learning for motif discovery.
Genomic sequence preprocessing toolkit
Interpreting sequence-to-function machine learning models
Motif representation and analysis toolkit in Python
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 💨
Add a description, image, and links to the regulatory-genomics topic page so that developers can more easily learn about it.
To associate your repository with the regulatory-genomics topic, visit your repo's landing page and select "manage topics."