Alternatives and similar repositories for L1000-bayesian

Users that are interested in L1000-bayesian are comparing it to the libraries listed below

• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆50Updated 4 years ago
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆69Updated 2 years ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆52Updated this week
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆144Updated last year
• MaayanLab / L1000toRNAseq
  ☆18Updated 2 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆55Updated 3 years ago
• myzhengSIMM / TranSiGen
  ☆31Updated 6 months ago
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆40Updated 3 weeks ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆71Updated 2 years ago
• djwooten / synergy
  Python library for calculting synergy of drug combinations using several drug synergy frameworks
  ☆36Updated 9 months ago
• regeneron-mpds / TCRAI
  ☆17Updated 4 years ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆18Updated 4 months ago
• phbradley / TCRdock
  python tools for TCR:peptide-MHC modeling and analysis
  ☆80Updated last year
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆55Updated 7 months ago
• TencentAILabHealthcare / ER-BERT
  ☆11Updated last year
• chembl / tractability_pipeline_v2
  Pipeline for assessing the tractability of potential targets (starting from Gene IDs)
  ☆24Updated 5 months ago
• bsml320 / VAEN
  A deep generative neural network based approach to impute drug response
  ☆21Updated 4 years ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆121Updated 6 months ago
• bm2-lab / PanPep
  ☆49Updated last year
• albert-ying / MethylGPT
  This is the official codebase for methylGPT : a foundation model for the DNA methylome.
  ☆42Updated last month
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 4 years ago
• kadiliissaar / DeePhase
  DeePhase predictor of homotypic liquid-liquid phase separation of proteins & the code associated with the paper "Learning the molecular g…
  ☆16Updated 3 years ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆46Updated last year
• TencentAILabHealthcare / DeepAIR
  ☆35Updated 2 years ago
• cmap / cmapPy
  Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
  ☆131Updated 3 years ago
• jianglikun / DeepTTC
  DeepTTC: a transformer-based model for predicting cancer drug response
  ☆16Updated 2 years ago
• astrazeneca-cgr-publications / DrugnomeAI-release
  ☆17Updated 10 months ago
• Lee-CBG / ATM-TCR
  ☆10Updated last year
• pengxingang / TEIM
  TEIM: TCR-Epitope Interaction Modeling
  ☆50Updated 2 years ago
• a96123155 / TransPHLA-AOMP
  ☆47Updated 3 years ago