QData / AttentiveChromeLinks
NeurIPS17: [AttentiveChrome] Attend and Predict: Using Deep Attention Model to Understand Gene Regulation by Selective Attention on Chromatin
☆27Updated 4 years ago
Alternatives and similar repositories for AttentiveChrome
Users that are interested in AttentiveChrome are comparing it to the libraries listed below
Sorting:
- Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications☆63Updated 4 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆82Updated 9 months ago
- A deep learning package for predicting TF binding☆42Updated 5 years ago
- Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications☆46Updated 6 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- Code and Data to accompany "Dilated Convolutions for Modeling Long-Distance Genomic Dependencies", presented at the ICML 2017 Workshop on…☆29Updated 7 years ago
- iDeep: integrated prediction of RNA-protein binding sites using deep learning☆39Updated 4 years ago
- Deep Feature Interaction Maps (DFIM)☆53Updated 6 years ago
- Simple and efficient access to genomic data for deep learning models.☆43Updated 5 years ago
- Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"☆45Updated last year
- "DeepDiff: Deep-learning for predicting Differential gene expression from histone modifications", Bioinformatics, Volume 34, Issue 17,☆21Updated 5 years ago
- Sequence data label generation and ingestion into deep learning models☆12Updated 3 years ago
- Tools for munging genomic data☆21Updated 5 years ago
- ☆21Updated 8 years ago
- Code accompanying the paper "Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively…☆12Updated 3 years ago
- Tools for building and manipulating graphs in Python☆41Updated this week
- End-to-end deep learning toolkit for predicting protein binding sites and motifs.☆45Updated 6 years ago
- Bioinformatics 2020: FastSK: Fast and Accurate Sequence Classification by making gkm-svm faster and scalable. https://fastsk.readthedocs.…☆21Updated 2 years ago
- Python Wrapper for FIt-SNE☆45Updated 4 years ago
- Towards Gene Expression Convolutions using Gene Interaction Graphs☆75Updated 3 years ago
- DeepSEA in TensorFlow☆29Updated 8 years ago
- pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks☆86Updated 5 years ago
- Perform hyper-parameter tuning, training, testing and prediction with Keras☆44Updated 7 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆24Updated 6 years ago
- Implementation of the AIControl paper in Julia 1.0☆17Updated 6 years ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆33Updated 5 years ago
- mRNN is an implementation of a Gated Recurrent Unit (GRU) network for classification of transcripts as either coding or noncoding.☆21Updated 6 years ago
- generalized principal component analysis (GLM-PCA) implemented in python☆60Updated 4 years ago
- Chromatin Accessibility Prediction via Convolutional Long Short-Term Memory Networks with k-mer Embedding☆14Updated 6 years ago
- Training and testing of DeepSEA models.☆14Updated 9 years ago