Alternatives and similar repositories for mRNN:

Users that are interested in mRNN are comparing it to the libraries listed below

• etirouthier / keras_dna
  ☆23Updated 4 years ago
• gagneurlab / concise
  Concise: Keras extension for regulatory genomics
  ☆35Updated 2 years ago
• IdoSpringer / ERGO
  ERGO is a deep learing based model for predicting TCR-peptide binding.
  ☆17Updated 2 years ago
• jpiper / pyDNase
  Python module for the easy handling and analysis of DNase-seq data
  ☆37Updated 5 years ago
• jiujiezz / deephlapan
  A deep learning approach for predicting high-confidence neoantigens by considering both the presentation possibilities of mutant peptides…
  ☆41Updated 2 years ago
• csoneson / NativeRNAseqComplexTranscriptome
  Code for the paper "A comprehensive examination of Nanopore native RNA sequencing for characterization of complex transcriptomes"
  ☆19Updated 5 years ago
• JanZrimec / DeepExpression
  ☆33Updated 2 years ago
• p-koo / learning_sequence_motifs
  "Representation Learning of Genomic Sequence Motifs with Convolutional Neural Networks" by Peter K. Koo and Sean R. Eddy
  ☆32Updated 5 years ago
• kundajelab / simdna
  A python library for creating simulated regulatory DNA sequences
  ☆38Updated 2 years ago
• xypan1232 / iDeep
  iDeep: integrated prediction of RNA-protein binding sites using deep learning
  ☆39Updated 4 years ago
• umccr / neoantigens
  🏺 Exploring novel tumor epitope identification
  ☆35Updated 4 years ago
• artyomovlab / hmmhc
  MHC class II binding prediction
  ☆14Updated 2 years ago
• mnielLab / netTCR
  predicting peptide and TCR interaction
  ☆20Updated 4 years ago
• ilanbb / dlprb
  DLPRB: A Deep Learning Approach for Predicting Protein-RNA Binding
  ☆13Updated 6 years ago
• ohlerlab / DeepRiPe
  ☆24Updated 11 months ago
• Oshlack / splatter-paper
  Data and analysis for the Splatter paper
  ☆29Updated 7 years ago
• zhangyan32 / HiCPlus
  ☆31Updated 5 years ago
• smaslova / AI-TAC
  ☆27Updated last year
• matsengrp / vampire
  🧛 Deep generative models for TCR sequences 🧛
  ☆17Updated 2 years ago
• MedChaabane / deepRAM
  End-to-end deep learning toolkit for predicting protein binding sites and motifs.
  ☆45Updated 6 years ago
• p-koo / residualbind
  "Global Importance Analysis: A Method to Quantify Importance of Genomic Features in Deep Neural Networks" by Koo et al.
  ☆12Updated 2 years ago
• statbiophys / SONIA
  Infer selection pressures on features of amino acid CDR3 sequences.
  ☆24Updated 11 months ago
• vagarwal87 / TargetScanTools
  A suite of tools for evolutionary and functional analysis of microRNA binding sites http://www.targetscan.org
  ☆40Updated 6 years ago
• ma-compbio / CTCF-MP
  ☆11Updated 4 years ago
• maximilianh / crisporPaper
  Code for the CRISPOR article, all data and code to create figures and analysis
  ☆40Updated 8 years ago
• de-Boer-Lab / CisRegModels
  Scripts for building computational models of gene regulation with tensorflow
  ☆27Updated last year
• Dongwon-Lee / lsgkm
  ☆50Updated last year
• vagarwal87 / Xpresso
  Predicting gene expression levels from genomic sequences
  ☆51Updated 4 years ago
• GuipengLi / SharePathway
  a python package for KEGG pathway enrichment analysis with multiple gene lists.
  ☆35Updated 7 years ago
• kundajelab / dfim
  Deep Feature Interaction Maps (DFIM)
  ☆53Updated 5 years ago