Alternatives and similar repositories for momix-notebook:

Users that are interested in momix-notebook are comparing it to the libraries listed below

• klarman-cell-observatory / scPhere
  ☆100Updated 2 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• AI4SCR / ATHENA
  ☆31Updated 3 months ago
• AltschulerWu-Lab / scScope
  ☆49Updated 5 years ago
• KrishnaswamyLab / SingleCellWorkshop
  ☆90Updated 4 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆38Updated 2 years ago
• gregbellan / Stabl
  ☆58Updated 5 months ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆76Updated 4 years ago
• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆54Updated 2 years ago
• hmatsu1226 / SCODE
  SCODE : an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation
  ☆43Updated 5 years ago
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆78Updated 6 months ago
• 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
• suinleelab / contrastiveVI
  ☆54Updated last year
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆61Updated 2 years ago
• bedapub / besca
  BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis
  ☆50Updated 2 weeks ago
• campbio / celda
  Bayesian Hierarchical Modeling for Clustering Single Cell Genomic Data
  ☆147Updated 2 months ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆107Updated 7 months ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 4 years ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆31Updated 6 months ago
• LewisLabUCSD / Ligand-Receptor-Pairs
  Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.
  ☆129Updated 2 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated last year
• drieslab / awesome-spatial-data-analysis
  Awesome list of tools and methods to perform spatial transcriptomic data analysis.
  ☆40Updated 3 years ago
• openproblems-bio / openproblems-v2
  Formalizing and benchmarking open problems in single-cell genomics
  ☆56Updated 5 months ago
• brianhie / geosketch
  Geometry-preserving random sampling
  ☆81Updated 6 months ago
• JinmiaoChenLab / Batch-effect-removal-benchmarking
  A benchmark of batch-effect correction methods for single-cell RNA sequencing data
  ☆74Updated 3 years ago
• emdann / milopy
  Python implementation of Milo for differential abundance testing on KNN graph
  ☆68Updated 2 months ago
• favilaco / deconv_benchmark
  ☆58Updated 4 years ago
• ushaham / BatchEffectRemoval
  ☆55Updated 5 years ago
• ma-compbio / SpiceMix
  spatial transcriptome, single cell
  ☆68Updated 2 years ago
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆34Updated last year