Alternatives and similar repositories for onto-vae

Users that are interested in onto-vae are comparing it to the libraries listed below

• MaayanLab / L1000toRNAseq
  ☆20Updated 3 years ago
• KangBoming / BulkFormer
  BulkFormer: A large-scale foundation model for human bulk transcriptomes
  ☆32Updated 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
  ☆57Updated 4 months ago
• frankligy / DeepImmuno
  Deep-learning empowered prediction and generation of immunogenic epitopes for T cell immunity
  ☆74Updated 2 years ago
• wukevin / tcr-bert
  Large language modeling applied to T-cell receptor (TCR) sequences.
  ☆57Updated 3 years ago
• chenhcs / FRoGS
  Functional Embedding of Gene Signatures
  ☆48Updated last year
• antigenomics / tcren-ms
  📝 [Paper] TCRen: predicting TCR-peptide recognition based on residue-level pairwise statistical potential
  ☆24Updated 2 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• regeneron-mpds / TCRAI
  ☆17Updated 4 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• 1edv / evolution
  This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'
  ☆96Updated 2 years ago
• theislab / chemCPA
  Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
  ☆131Updated 10 months ago
• TencentAILabHealthcare / scTranslator
  ☆64Updated 3 months ago
• IdoSpringer / ERGO-II
  ERGO-II, an updated version of ERGO including more features for TCR-peptide binding prediction
  ☆34Updated 3 years ago
• sjgosai / boda2
  Computational Optimization of DNA Activity (CODA)
  ☆65Updated 8 months ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆86Updated 3 years ago
• sidhomj / DeepTCR
  Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
  ☆122Updated 2 months ago
• theislab / cpa
  The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell leve…
  ☆119Updated last year
• PaccMann / TITAN
  Code for "T Cell Receptor Specificity Prediction with Bimodal Attention Networks" (https://doi.org/10.1093/bioinformatics/btab294, ISMB 2…
  ☆30Updated 4 months ago
• evanseitz / squid-nn
  surrogate quantitative interpretability for deepnets
  ☆24Updated 3 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆51Updated 3 months ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 4 years ago
• idekerlab / DrugCell
  A visible neural network model for drug response prediction
  ☆149Updated 2 years ago
• mims-harvard / PINNACLE
  Contextual AI models for single-cell protein biology
  ☆95Updated 9 months ago
• krishnanlab / obnb
  A Python toolkit for setting up benchmarking dataset using biomedical networks
  ☆22Updated 2 weeks ago
• MaayanLab / archs4py
  Python package to load and query ARCHS4 data
  ☆24Updated 4 months ago
• pth1993 / DeepCE
  A deep learning framework for high-throughput mechanism-driven phenotype screening
  ☆51Updated 4 years ago
• bioinformatics-sannio / ncrna-deep
  Scripts and datasets to reproduce the experiment of the paper "Exploring non-coding RNA functions with deep learning tools"
  ☆16Updated 4 years ago
• ShenLab / gMVP
  ☆21Updated 3 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆55Updated 5 years ago