hiranumn / DeepATACseqLinks
Repository for the code for DeepATAC project presented at WCB workshop in ICML2017
☆22Updated 8 years ago
Alternatives and similar repositories for DeepATACseq
Users that are interested in DeepATACseq are comparing it to the libraries listed below
Sorting:
- ☆20Updated 10 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 3 years ago
- A hybrid deep convolutional neural network for predicting chromatin accessibility☆25Updated 6 years ago
- A deep learning package for predicting TF binding☆42Updated 5 years ago
- Python module for the easy handling and analysis of DNase-seq data☆37Updated 6 years ago
- Coda: a convolutional denoising algorithm for genome-wide ChIP-seq data☆34Updated 8 years ago
- Scripts for building computational models of gene regulation with tensorflow☆27Updated 2 years ago
- Connectivity Map analysis in MATLAB☆46Updated 4 years ago
- ☆51Updated 2 years ago
- Prediction of the 3D structure of the genome through statistically significant Hi-C contacts.☆21Updated 7 years ago
- ☆56Updated 5 years ago
- Deep learning for identifying cis-regulatory elements and other applications☆34Updated 9 years ago
- PEDLA: predicting enhancers with deep learning-based algorithmic framework☆16Updated 10 years ago
- ☆14Updated 5 years ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆34Updated 6 years ago
- Generate cellular maps of differentiation manifolds with complex topologies.☆27Updated 7 years ago
- Deep Feature Interaction Maps (DFIM)☆54Updated 6 years ago
- PAthway Representation and Analysis by Direct Inference on Graphical Models☆46Updated 7 years ago
- DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding☆13Updated 7 years ago
- Dimensionality reduction for single cell RNA-seq data☆36Updated 5 years ago
- VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:☆34Updated 2 years ago
- deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis☆22Updated 2 years ago
- Data and analysis for the Splatter paper☆29Updated 8 years ago
- ☆21Updated 7 years ago
- scRNAseq integration with triplet neural networks☆41Updated 3 years ago
- Predict the boundary of transcript start and end from RNA-seq reads alignment☆11Updated 8 years ago
- easy access to benchmark datasets☆50Updated 7 years ago
- ☆29Updated 2 years ago
- An unsupervised transfer learning approach for rare disease transcriptomics☆46Updated 5 years ago
- K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data☆60Updated 3 years ago