BIRD
DNA predictor
A software tool that predicts DNase I hypersensitivity based on gene expression data
Big data Regression for predicting DNase I hypersensitivity
30 stars
3 watching
5 forks
Language: C++
last commit: 3 months ago
Linked from 1 awesome list
chromatin-accessibiitydnase-seqgene-expressionprediction-modelrna-seqsingle-cell-genomics
seandavi/awesome-single-cellRelated projects:
| Repository | Description | Stars |
|---|---|---|
 cangermueller/deepcpg | A deep learning framework for predicting DNA methylation states from incomplete data. | 143 |
 inoue0426/drgat | This implementation uses Graph Attention Networks to predict drug response based on genetic influences in heterogeneous networks. | 3 |
 bplaye/nnk_dti | An open-source project evaluating deep learning methods for predicting ligands and drugs in chemogenomics | 3 |
 shen-lab/deepaffinity | A deep learning framework for predicting protein-compound affinity from molecular sequences and structures | 137 |
 lingfeiwang/normalisr | A software framework for analyzing single-cell RNA sequencing data | 18 |
 zjufanlab/sccatch | Automated tool for annotating cell types from single-cell RNA sequencing data based on marker genes | 218 |
 mohuangx/saver | Recover gene expression profiles from noisy single-cell RNA-seq data using regression and empirical Bayes methods. | 109 |
 nghiavtr/bpsc | A package for analyzing single-cell RNA-seq data using a beta-Poisson model. | 16 |
 emil-yorku/sensseq | Develops a low-power chip with integrated mixed-signal readout and bioinformatics processing capabilities for nanopore-based DNA sequencing | 34 |
 cabsel/sincerities | Infers gene regulatory networks from time-stamped single cell transcriptional expression profiles using a statistical method | 11 |
 kharchenkolab/numbat | Analyzes single-cell RNA-seq data to detect allele-specific copy number variations and infer lineage relationships in cancer cells | 166 |
 muhaochen/seq_ppi | A deep learning framework for predicting protein-protein interactions based on sequence data | 89 |
 cz-ye/decent | A software package that analyzes single-cell RNA-seq data to identify differential gene expression with capture efficiency adjustments | 14 |
 codait/deep-histopath | Develops an automatic prediction model for breast cancer proliferation scores from whole-slide histopathology images using deep learning techniques. | 206 |
 broadinstitute/cell-health | Predicts cell health from morphological profiles using machine learning and image analysis | 35 |