Alternatives and similar repositories for DeepTCR

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

• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆84Updated 3 years ago
• 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
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆60Updated 5 months ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆35Updated 3 years ago
• slowkow / awesome-vdj
  📚 Tools and databases for analyzing HLA and VDJ genes.
  ☆228Updated 4 months ago
• immunoengineer / gliph
  Grouping of Lymphocyte Interactions by Paratope Hotspots
  ☆97Updated 4 years ago
• broadinstitute / depmap_omics
  What you need to process the Quarterly DepMap-Omics releases from Terra
  ☆120Updated last month
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆33Updated 3 years ago
• uio-bmi / immuneML
  immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
  ☆68Updated last week
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆102Updated 2 years ago
• GET-Foundation / get_model
  A modular framework for multimodal cross-cell-type transcriptional regulation models
  ☆87Updated last month
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• calico / scBasset
  Sequence-based Modeling of single-cell ATAC-seq using Convolutional Neural Networks.
  ☆98Updated this week
• kmayerb / tcrdist3
  flexible CDR based distance metrics
  ☆66Updated 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
• const-ae / linear_perturbation_prediction-Paper
  ☆49Updated last month
• FunctionLab / ExPecto
  predicting expression effects of human genome variants ab initio from sequence
  ☆132Updated 7 months ago
• theislab / scgen-reproducibility
  ☆28Updated 4 years ago
• TencentAILabHealthcare / scTranslator
  ☆36Updated 3 weeks ago
• s175573 / DeepCAT
  Deep Learning Method to Identify Cancer Associated TCRs
  ☆47Updated 3 years ago
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆149Updated 2 years ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆109Updated last year
• sanderlab / scPerturb
  scPerturb: A resource and a python/R tool for single-cell perturbation data
  ☆145Updated 6 months ago
• kundajelab / bpnet
  Toolkit to train base-resolution deep neural networks on functional genomics data and to interpret them
  ☆163Updated last year
• xinyu-dev / igblast
  Detailed explanation on how to setup database for NCBI IgBlast executable, and using it in Python
  ☆29Updated 3 years ago
• lanagarmire / Asgard
  ☆43Updated last year
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆104Updated 2 years ago
• FunctionLab / sei-framework
  code to run sei and obtain sei and sequence class predictions
  ☆109Updated 2 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆50Updated last month
• snap-stanford / SATURN
  ☆136Updated last year