jianlin-cheng / DeepGRN
Deep learning for modeling gene regulatory network
☆22Updated 3 years ago
Alternatives and similar repositories for DeepGRN
Users that are interested in DeepGRN are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- Knowledge-primed neural networks☆36Updated 2 years ago
- ☆17Updated 6 months ago
- ☆20Updated 3 months ago
- ☆27Updated last year
- Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…☆63Updated 2 years ago
- ☆34Updated 2 years ago
- Code for reproducing the Sei manuscript results☆16Updated 3 years ago
- PECA is a software for inferring context specific gene regulatory network from paired gene expression and chromatin accessibility data☆43Updated last year
- ☆26Updated 7 months ago
- Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.☆49Updated 10 months ago
- Benchmark of GRNs using the GRETA pipeline☆24Updated last month
- Molecular interactions inference from single-cell multi-omics data☆24Updated this week
- Predicting gene expression levels from genomic sequences☆53Updated 4 years ago
- Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction☆21Updated 2 years ago
- ExplaiNN: interpretable and transparent neural networks for genomics☆48Updated last month
- Tools for sgRNA calling in direct capture Perturb-seq data☆33Updated last year
- A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data☆23Updated 4 months ago
- Deep Learning Method to Identify Cancer Associated TCRs☆46Updated 2 years ago
- code to run EPInformer for gene expression prediction and gene-enhancer links prioritization☆42Updated 5 months ago
- Machine learning-based approach for the inference of gene regulatory networks from expression data.☆82Updated 3 years ago
- ☆33Updated 2 years ago
- Code for scKINETICS (ISMB 2023)☆21Updated last year
- Computational Optimization of DNA Activity (CODA)☆58Updated last month
- Saluki, a method to predict mRNA half-lives from sequence☆24Updated 2 years ago
- TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…☆25Updated 2 years ago
- ☆23Updated 8 months ago
- ☆25Updated 4 months ago
- Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks☆28Updated last month
- ☆26Updated 4 years ago