Alternatives and similar repositories for LAMAR

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

• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆61Updated 5 months ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆84Updated 3 years ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆120Updated this week
• ntranoslab / esm-variants
  ☆78Updated 2 years ago
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆33Updated 3 years ago
• xCompass-AI / GeneCompass
  GeneCompass
  ☆88Updated 3 months ago
• kuixu / PrismNet
  Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure
  ☆65Updated last year
• a96123155 / UTR-LM
  ☆90Updated 11 months ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆35Updated 3 years ago
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆71Updated 2 years ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆89Updated last month
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆149Updated 2 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆56Updated 3 years ago
• XWangLabTHU / NeuronMotif
  NeuronMotif: deciphering cis-regulatory codes by layerwise demixing of deep neural networks
  ☆15Updated 2 years ago
• de-Boer-Lab / random-promoter-dream-challenge-2022
  ☆32Updated 7 months ago
• KarchinLab / bigmhc
  BigMHC predicts MHC-I (neo)epitope presentation and immunogenicity
  ☆56Updated last year
• GfellerLab / MixMHC2pred
  HLA-II ligand predictor.
  ☆44Updated 2 years ago
• jkobject / geneformer
  ☆79Updated last month
• lingxusb / Riboformer
  ☆22Updated 3 months ago
• tanjimin / C.Origami
  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.
  ☆78Updated last year
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆46Updated 2 months ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆20Updated last month
• ychuest / Awesome-LLMs-meet-genomes
  Explore a comprehensive collection of basic theories, applications, papers, and best practices about Large Language Models (LLMs) in geno…
  ☆92Updated last month
• johahi / borzoi-pytorch
  Pytorch implementation of the Borzoi model from Calico, and Flashzoi, a 3x faster Borzoi enhancement.
  ☆73Updated last week
• jzhoulab / puffin
  deep learning-inspired explainable sequence model for transcription initiation
  ☆97Updated 6 months ago
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆60Updated 9 months ago
• lulab / OligoFormer
  ☆32Updated 4 months ago
• kundajelab / DART-Eval
  ☆41Updated last month
• phbradley / tcr-dist
  Software tools for the analysis of epitope-specific T cell receptor (TCR) repertoires (scroll down for the README)
  ☆86Updated 3 years ago
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆109Updated 2 years ago