Alternatives and similar repositories for monae

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

• TencentAILabHealthcare / scPROTEIN
  ☆55Updated last year
• BioX-NKU / scButterfly
  A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
  ☆25Updated last year
• UCSC-VLAA / EpiFoundation
  Pytorch implementation of EpiFoundation
  ☆24Updated 9 months ago
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆60Updated last year
• QuKunLab / MultiomeBenchmarking
  ☆50Updated 9 months ago
• ttgump / spaVAE
  Dependency-aware deep generative models for multitasking analysis of spatial genomics data
  ☆39Updated last year
• zhyu-lab / bmvae
  a variational autoencoder method for clustering single-cell mutation data
  ☆12Updated last year
• liu-bioinfo-lab / EPCOT
  ☆25Updated 2 years ago
• kaitlin309 / PRIESSTESS
  ☆12Updated 3 months ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆57Updated last year
• FakeEnd / iDNA_ABF
  python codes for iDNA-ABF: multi-scale deep biological language learning model for the accurate and interpretable prediction of DNA methy…
  ☆15Updated last year
• suinleelab / contrastiveVI
  ☆58Updated last year
• visze / sequence_cnn_models
  ☆13Updated 10 months ago
• melobio / Concerto-reproducibility
  ☆40Updated 2 years ago
• yuzhenmao / ScRAT
  Implementation of Phenotype prediction from single-cell RNA-seq data using attention-based neural networks (Bioinformatics 2024).
  ☆13Updated last year
• bioinfo-biols / Flow2Spatial
  Flow2Spatial reconstructs spatial proteomics through transfer learning.
  ☆22Updated 6 months ago
• idekerlab / llm_evaluation_for_gene_set_interpretation
  Code space for 'Evaluation of large language models for discovery of gene set function'
  ☆41Updated 11 months ago
• HelloWorldLTY / UKBioLM
  ☆22Updated 7 months ago
• Webioinfo01 / Awesome-AI-Meets-Biology
  Awesome-AI-Meets-Biology is a collection of state-of-the-art, novel, exciting LLMs and agents on biomedical and bioinformatic fields.
  ☆26Updated last week
• Philyzh8 / scMGCA
  "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…
  ☆15Updated 2 years ago
• biomed-AI / scAdapt
  ☆10Updated 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
• microsoft / zero-shot-scfoundation
  ☆76Updated last year
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 3 years ago
• jlakkis / sciPENN
  ☆18Updated 3 years ago
• CostaLab / MOJITOO
  MOJITOO: a fast and universal method for integration of multimodal single cell data
  ☆11Updated last year
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• jsxlei / scCLIP
  ☆32Updated last year
• suinleelab / PAUSE
  Code for paper "Principled feature attribution for unsupervised gene expression analysis"
  ☆12Updated 2 years ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 3 years ago