Alternatives and similar repositories for monae

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

• QuKunLab / MultiomeBenchmarking
  ☆44Updated 3 months ago
• BioX-NKU / scButterfly
  A versatile single-cell cross-modality translation method via dual-aligned variational autoencoders
  ☆19Updated 11 months ago
• UCSC-VLAA / EpiFoundation
  Pytorch implementation of EpiFoundation
  ☆17Updated 3 months ago
• TencentAILabHealthcare / scPROTEIN
  ☆50Updated 6 months ago
• Philyzh8 / scMGCA
  "Topological Identification and Interpretation for Single-cell Gene Regulation Elucidation across Multiple Platforms using scMGCA" in Nat…
  ☆14Updated 2 years ago
• jsxlei / scCLIP
  ☆29Updated last year
• mcgilldinglab / scCross
  A Deep Learning-Based Model for the integration, cross-dataset cross-modality generation, self augmentation and matched multi-omics simul…
  ☆15Updated 3 months ago
• HelloWorldLTY / UKBioLM
  ☆17Updated last month
• XLearning-SCU / scBridge
  ☆21Updated 9 months ago
• bm2-lab / scMVP
  ☆30Updated last month
• vitkl / cell2location_paper
  Cell2location paper - Comprehensive mapping of tissue cell architecture via integrated single cell and spatial transcriptomics
  ☆15Updated 2 years ago
• bioinfo-biols / Flow2Spatial
  Flow2Spatial reconstructs spatial proteomics through transfer learning.
  ☆16Updated 3 weeks ago
• suinleelab / contrastiveVI
  ☆55Updated last year
• SuperBianC / scMulan
  Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
  ☆58Updated last year
• ZJUFanLab / scSpace
  an integrative algorithm to distinguish spatially variable cell subclusters by reconstructing cells onto a pseudo space with spatial tran…
  ☆22Updated 2 years ago
• jlakkis / sciPENN
  ☆17Updated 2 years ago
• PYangLab / Matilda
  Matilda is a multi-task framework for learning from single-cell multimodal omics data. Matilda leverages the information from the multi-m…
  ☆20Updated 6 months ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆54Updated 10 months ago
• marvinquiet / Cellcano
  Supervised cell type identification for scATAC-seq data
  ☆13Updated last year
• huidongchen / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆19Updated last year
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆40Updated 2 years ago
• YangLabHKUST / Portal
  Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets
  ☆30Updated last year
• zhyu-lab / bmvae
  a variational autoencoder method for clustering single-cell mutation data
  ☆11Updated last year
• WPZgithub / CEFCON
  Deciphering driver regulators of cell fate decisions from single-cell RNA-seq data
  ☆24Updated 7 months ago
• Roy-lab / scMTNI
  ☆27Updated 5 months ago
• QSong-github / SiGra
  Single-cell spatial elucidation through image-augmented graph transformer
  ☆32Updated last year
• xianglin226 / scMDC
  Single Cell Multi-omics deep clustering
  ☆27Updated last year
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆27Updated 8 months ago
• STOmics / StereoMMv1
  StereoMM is a graph fusion model that can integrate gene expression, histological images, and spatial location. And the information inter…
  ☆33Updated last week
• XLearning-SCU / MetaQ
  Code for the paper "MetaQ: fast, scalable and accurate metacell inference via deep single-cell quantization"
  ☆10Updated 6 months ago