Alternatives and similar repositories for rbpnet

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

• xiongxslab / Translatomer
  ☆24Updated 3 months ago
• wassermanlab / ExplaiNN
  ExplaiNN: interpretable and transparent neural networks for genomics
  ☆49Updated 8 months ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• goodarzilab / SwitchFinder
  ☆18Updated last year
• Genentech / polygraph
  Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …
  ☆38Updated 8 months ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆65Updated 8 months ago
• autosome-ru / LegNet
  accurate prediction of promoter activity and variant effects from massive parallel reporter assays
  ☆43Updated 5 months ago
• p-koo / creme-nn
  https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2
  ☆32Updated 11 months ago
• jzhoulab / puffin_manuscript
  ☆18Updated last year
• shtoneyan / gopher
  Toolset for training quantitative sequence to function models.
  ☆23Updated last year
• Carldeboer / CisRegModels
  Scripts for building computational models of gene regulation with tensorflow
  ☆11Updated 5 years ago
• liu-bioinfo-lab / EPCOT
  ☆25Updated 2 years ago
• vagarwal87 / saluki_paper
  Saluki, a method to predict mRNA half-lives from sequence
  ☆27Updated 3 years ago
• gagneurlab / scooby
  scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.
  ☆49Updated last month
• ketringjoni / SuPreMo
  Pipeline for generating reference and perturbed sequences for input into predictive models.
  ☆11Updated last year
• FunctionLab / sei-manuscript
  Code for reproducing the Sei manuscript results
  ☆17Updated 3 years ago
• ekernf01 / perturbation_benchmarking
  Comparing performance across many methodological dimensions among tools that predict RNA after TF knockdowns and overexpression.
  ☆21Updated 3 months ago
• karbalayghareh / GraphReg
  Chromatin interaction aware gene regulatory modeling with graph attention networks
  ☆28Updated 2 years ago
• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer link prediction
  ☆44Updated 3 months ago
• bernardo-de-almeida / DeepSTARR
  Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Droso…
  ☆71Updated 2 years ago
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆25Updated 3 years ago
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆45Updated 2 years ago
• KarchinLab / mhcnuggets
  MHC Class I and Class II neoantigen binding prediction
  ☆33Updated 5 months ago
• mostafavilabuw / EnformerAssessment
  ☆25Updated last year
• MiraldiLab / maxATAC
  Transcription Factor Binding Prediction from ATAC-seq and scATAC-seq with Deep Neural Networks
  ☆30Updated last month
• johahi / borzoi-pytorch
  Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
  ☆89Updated last month
• Genentech / regLM
  Toolkit for training hyenaDNA-based autoregressive language models on DNA sequences.
  ☆50Updated last year
• vagarwal87 / Xpresso
  Predicting gene expression levels from genomic sequences
  ☆55Updated 5 years ago
• jiang-q19 / scPRAM
  scPRAM accurately predicts single-cell gene expression perturbation response based on attention mechanism
  ☆17Updated last year
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆73Updated 2 weeks ago