Alternatives and similar repositories for L1000toRNAseq

Users that are interested in L1000toRNAseq are comparing it to the libraries listed below

• astrazeneca-cgr-publications / DrugnomeAI-release
  ☆17Updated last year
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆50Updated 4 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆56Updated 3 years ago
• myzhengSIMM / TranSiGen
  ☆31Updated 7 months ago
• njpipeorgan / L1000-bayesian
  L1000 peak deconvolution based on Bayesian analysis
  ☆26Updated 3 years ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆52Updated last month
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆71Updated 2 years ago
• VariantEffect / mavedb-api
  MaveDB API
  ☆11Updated 2 weeks ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆72Updated 2 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 4 years ago
• mims-harvard / PINNACLE
  Contextual AI models for single-cell protein biology
  ☆88Updated 7 months ago
• regeneron-mpds / TCRAI
  ☆17Updated 4 years ago
• 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
• djwooten / synergy
  Python library for calculting synergy of drug combinations using several drug synergy frameworks
  ☆36Updated 10 months ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆123Updated 7 months ago
• bsml320 / VAEN
  A deep generative neural network based approach to impute drug response
  ☆21Updated 4 years ago
• TencentAILabHealthcare / DeepAIR
  ☆37Updated 2 years ago
• chembl / tractability_pipeline_v2
  Pipeline for assessing the tractability of potential targets (starting from Gene IDs)
  ☆27Updated 7 months ago
• bm2-lab / PanPep
  ☆50Updated last year
• johli / scrambler
  Interpretation by Deep Generative Masking for Biological Sequences
  ☆37Updated 3 years ago
• jychen01 / PISTE
  ☆22Updated 10 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
• bioinformatics-sannio / ncrna-deep
  Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"
  ☆15Updated 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
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆149Updated 2 years ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆46Updated last year
• menchelab / MultiOme
  Network-based project to explore gene connectivity through biological scales
  ☆23Updated 10 months ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆20Updated last month
• ShenLab / gMVP
  ☆21Updated 2 years ago
• xinyu-dev / annotate_v
  Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python
  ☆30Updated 2 years ago