Alternatives and similar repositories for SpliceTransformer

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

• johli / aparent
  APA Regression Net - Predict and Engineer Alternative Polyadenylation
  ☆40Updated 4 years ago
• Illumina / PromoterAI
  ☆83Updated last month
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆65Updated 8 months ago
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆45Updated 2 years ago
• vagarwal87 / Xpresso
  Predicting gene expression levels from genomic sequences
  ☆55Updated 5 years ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆35Updated 3 years ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆87Updated 3 years ago
• jzhoulab / puffin
  deep learning-inspired explainable sequence model for transcription initiation
  ☆100Updated 9 months ago
• de-Boer-Lab / random-promoter-dream-challenge-2022
  ☆34Updated 10 months ago
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆82Updated last year
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆109Updated 3 years ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆123Updated 3 months ago
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆47Updated 3 years ago
• Illumina / PrimateAI-3D
  ☆71Updated last month
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆73Updated 2 weeks ago
• wassermanlab / ExplaiNN
  ExplaiNN: interpretable and transparent neural networks for genomics
  ☆49Updated 8 months ago
• xiongxslab / Translatomer
  ☆24Updated 3 months ago
• pinellolab / EPInformer
  code to run EPInformer for gene expression prediction and gene-enhancer link prediction
  ☆44Updated 3 months ago
• p-koo / creme-nn
  https://www.biorxiv.org/content/10.1101/2023.07.03.547592v2
  ☆32Updated 11 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
• KarchinLab / mhcnuggets
  MHC Class I and Class II neoantigen binding prediction
  ☆33Updated 5 months ago
• mhorlacher / rbpnet
  ☆18Updated last year
• jzhoulab / puffin_manuscript
  ☆18Updated last year
• kundajelab / DART-Eval
  ☆42Updated 5 months ago
• Hughes-Genome-Group / deepC
  A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence
  ☆33Updated last year
• ketringjoni / SuPreMo
  Pipeline for generating reference and perturbed sequences for input into predictive models.
  ☆11Updated last year
• XSLiuLab / Seq2Neo
  Seq2Neo: a comprehensive pipeline for cancer neoantigen immunogenicity prediction
  ☆22Updated 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
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆97Updated 4 months ago