hendrixlab / mRNNLinks
mRNN is an implementation of a Gated Recurrent Unit (GRU) network for classification of transcripts as either coding or noncoding.
☆21Updated 6 years ago
Alternatives and similar repositories for mRNN
Users that are interested in mRNN are comparing it to the libraries listed below
Sorting:
- ☆24Updated 4 years ago
- ☆33Updated 2 years ago
- Code for reproducing the Sei manuscript results☆17Updated 3 years ago
- ☆24Updated last year
- Code for the paper "Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellula…☆44Updated 4 years ago
- DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding☆13Updated 6 years ago
- multiway chromatin interaction, 3D genome, single-nucleus, hypergraph representation learning☆29Updated 3 years ago
- MHC class II binding prediction☆14Updated 2 years ago
- Saluki, a method to predict mRNA half-lives from sequence☆25Updated 2 years ago
- A suite of tools for evolutionary and functional analysis of microRNA binding sites http://www.targetscan.org☆42Updated 6 years ago
- 🏺 Exploring novel tumor epitope identification☆34Updated 4 years ago
- Deep Learning Method to Identify Cancer Associated TCRs☆47Updated 3 years ago
- a python package for KEGG pathway enrichment analysis with multiple gene lists.☆36Updated 7 years ago
- Concise: Keras extension for regulatory genomics☆35Updated 2 years ago
- Knowledge-primed neural networks☆38Updated 2 years ago
- A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…☆44Updated 2 years ago
- Standard set of data-loaders for training and making predictions for DNA sequence-based models.☆81Updated 11 months ago
- "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy☆33Updated 5 years ago
- Predicting gene expression levels from genomic sequences☆54Updated 5 years ago
- Deep neural networks for predicting CpG methylation☆37Updated 8 years ago
- Code for reproducing "Exploring genetic interaction manifolds constructed from rich single-cell phenotypes"☆58Updated 5 years ago
- ☆18Updated last year
- ☆31Updated 5 years ago
- ☆38Updated last year
- Extension of the WGCNA program to improve the eigengene similarity of modules and increase the overall number of genes in modules.☆65Updated 4 years ago
- Data and analysis for the Splatter paper☆29Updated 7 years ago
- Scripts for building computational models of gene regulation with tensorflow☆27Updated 2 years ago
- A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.☆60Updated last year
- MHC Class I and Class II neoantigen binding prediction☆30Updated last month
- Data, results, and code accompanying the manuscript: "Supervised learning is an accurate method for network-based gene classification"☆10Updated 3 years ago