Alternatives and similar repositories for genomap

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

• suinleelab / contrastiveVI
  ☆56Updated last year
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆51Updated last month
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆53Updated 3 years ago
• QuKunLab / MultiomeBenchmarking
  ☆49Updated 6 months ago
• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆56Updated 4 months ago
• sunericd / TISSUE
  TISSUE (Transcript Imputation with Spatial Single-cell Uncertainty Estimation) provides tools for estimating well-calibrated uncertainty …
  ☆34Updated last year
• kimmo1019 / scDEC
  Simultaneous deep generative modeling and clustering of single cell genomic data
  ☆32Updated 2 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 3 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 2 years ago
• bm2-lab / scMVP
  ☆32Updated 5 months ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• poseidonchan / TAPE
  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
  ☆55Updated last year
• theislab / ncem
  Learning cell communication from spatial graphs of cells
  ☆112Updated last year
• bioinfo-biols / Flow2Spatial
  Flow2Spatial reconstructs spatial proteomics through transfer learning.
  ☆22Updated 4 months ago
• romain-lopez / DestVI-reproducibility
  Reproducing the experiments of the DestVI paper
  ☆19Updated 3 years ago
• pinellolab / simba
  SIMBA: SIngle-cell eMBedding Along with features
  ☆63Updated 11 months ago
• JinmiaoChenLab / SpatialGlue
  SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.
  ☆69Updated last year
• ttgump / spaVAE
  Dependency-aware deep generative models for multitasking analysis of spatial genomics data
  ☆36Updated last year
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆43Updated 2 years ago
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆63Updated last year
• const-ae / linear_perturbation_prediction-Paper
  ☆53Updated 2 months ago
• bowang-lab / scGPT-spatial
  ☆110Updated 7 months ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆105Updated 2 years ago
• nitzanlab / biolord
  ☆83Updated last year
• Lotfollahi-lab / nichecompass
  End-to-end analysis of spatial multi-omics data
  ☆94Updated last month
• welch-lab / VeloVAE
  Deep Generative Modeling of RNA Velocity
  ☆35Updated 4 months ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 5 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆79Updated 5 years ago
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆31Updated 5 years ago
• YangLabHKUST / STitch3D
  Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices
  ☆67Updated last year