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 7 months ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆43Updated 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
  ☆32Updated last week
• Perturbation-Response-Prediction / PRnet
  PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturb…
  ☆47Updated 4 months ago
• chembl / tractability_pipeline_v2
  Pipeline for assessing the tractability of potential targets (starting from Gene IDs)
  ☆24Updated 3 months ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆21Updated last month
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆34Updated 5 years ago
• PaccMann / paccmann_predictor
  PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…
  ☆51Updated 11 months ago
• pmoris / ImRex
  Generic TCR-epitope recognition prediction using CNN approach on both known and novel epitopes
  ☆16Updated last year
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated 3 months ago
• kekegg / DLEPS
  A Deep Learning based Efficacy Prediction System for drug discovery
  ☆66Updated 2 years ago
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆18Updated last month
• emmijokinen / TCRconv
  TCRconv is a deep learning model for predicting recognition between T cell receptors and epitopes. It uses protBERT embeddings for the TC…
  ☆25Updated 2 years ago
• regeneron-mpds / TCRAI
  ☆16Updated 3 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆53Updated 3 years ago
• njpipeorgan / L1000-bayesian
  L1000 peak deconvolution based on Bayesian analysis
  ☆25Updated 3 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆36Updated 2 years ago
• djwooten / synergy
  Python library for calculting synergy of drug combinations using several drug synergy frameworks
  ☆35Updated 6 months ago
• mnielLab / NetTCR-2.0
  NetTCR-2.0. Sequence-based prediction of peptide-TCR binding
  ☆33Updated 3 years ago
• cmap / lincs-workshop-2020
  CMap Notebooks for LINCS 2020 Workshop
  ☆46Updated 3 years ago
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆32Updated 3 years ago
• snap-stanford / KGWAS
  KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
  ☆65Updated 2 months ago
• jianglikun / DeepTTC
  DeepTTC: a transformer-based model for predicting cancer drug response
  ☆16Updated last year
• crazyhottommy / Machine_learning_drug_discovery
  ☆27Updated last month
• 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
• myzhengSIMM / TranSiGen
  ☆28Updated 3 months ago
• bsml320 / VAEN
  A deep generative neural network based approach to impute drug response
  ☆20Updated 3 years ago
• VariantEffect / mavedb-api
  MaveDB API
  ☆13Updated last week
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆112Updated 3 months ago
• 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