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
  ☆15Updated 6 months ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆19Updated last week
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆50Updated 10 months ago
• chembl / tractability_pipeline_v2
  Pipeline for assessing the tractability of potential targets (starting from Gene IDs)
  ☆22Updated last month
• welch-lab / PerturbNet
  PerturbNet is a deep generative model that can predict the distribution of cell states induced by chemical or genetic perturbation
  ☆30Updated last month
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆40Updated last year
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆33Updated 4 years ago
• BML-cbnu / DrugGCN
  Predict drug response with graph convolutional network.
  ☆9Updated 4 years ago
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 3 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆35Updated last year
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆33Updated 2 years ago
• bsml320 / VAEN
  A deep generative neural network based approach to impute drug response
  ☆19Updated 3 years ago
• hdsu-bioquant / onto-vae
  Package to preprocess ontologies and train OntoVAE models.
  ☆10Updated 2 months ago
• njpipeorgan / L1000-bayesian
  L1000 peak deconvolution based on Bayesian analysis
  ☆25Updated 3 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…
  ☆24Updated 2 years ago
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆64Updated 2 years ago
• menchelab / MultiOme
  Network-based project to explore gene connectivity through biological scales
  ☆23Updated 5 months ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆49Updated 3 years ago
• regeneron-mpds / TCRAI
  ☆16Updated 3 years ago
• lulab / OligoFormer
  ☆21Updated 2 months ago
• NKI-AI / STAPLER
  STAPLER (Shared TCR And Peptide Language bidirectional Encoder Representations from transformers) is a language model that uses a joint T…
  ☆26Updated 10 months ago
• theislab / scgen-reproducibility
  ☆24Updated 4 years ago
• pmoris / ImRex
  Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes
  ☆15Updated last year
• bowang-lab / BIONIC
  Biological Network Integration using Convolutions
  ☆62Updated last year
• zuozhaorui / SWnet
  Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…
  ☆20Updated 3 years ago
• crazyhottommy / Machine_learning_drug_discovery
  ☆26Updated 4 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated last month
• DabinJeong / GOAT_multi-omics_biomarker
  Multi-omics biomarker discovery tool exploiting a gene-gene interaction network
  ☆16Updated 11 months ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆18Updated 2 months ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 4 years ago