deepcpg
DNA predictor
A deep learning framework for predicting DNA methylation states from incomplete data.
Deep neural networks for predicting CpG methylation
143 stars
13 watching
68 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
deep-neural-networksdeeplearningepigeneticsmethylationsingle-cell
Related projects:
Repository | Description | Stars |
---|---|---|
| An open-source project evaluating deep learning methods for predicting ligands and drugs in chemogenomics | 3 |
| An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. | 78 |
| A software tool that predicts DNase I hypersensitivity based on gene expression data | 30 |
| A deep learning framework for predicting protein-compound affinity from molecular sequences and structures | 137 |
| A deep learning-based system for generating precise grasp poses for robots in real-time | 525 |
| This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |
| A neural network architecture for predicting chemical properties using multiple molecular representations. | 1 |
| CPI prediction tool using graph neural networks and convolutional neural networks | 159 |
| Develops a deep learning model to predict compound-protein interactions by leveraging sequence-based learning and self-attention mechanisms | 134 |
| A Python framework for deep learning-based drug-target interaction prediction using a DBN architecture. | 49 |
| A system that predicts drug-target binding affinity using convolutional neural networks and protein sequences. | 228 |
| An unsupervised machine learning algorithm that extracts meaningful patterns from data using contrastive predictive coding | 527 |
| This project implements a deep learning approach to predicting docking affinities for molecules with proteins | 66 |
| A software framework for machine learning of chemical property prediction using message passing neural networks | 1,827 |
| A software framework for analyzing single-cell DNA methylation data using Bayesian methods | 14 |