Alternatives and similar repositories for momix-notebook:

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

• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• klarman-cell-observatory / scPhere
  ☆99Updated 2 years ago
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆34Updated last year
• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆54Updated 2 years ago
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆76Updated 5 months ago
• xuyungang / scIGANs
  Generative adversarial networks for single-cell RNA-seq imputation
  ☆39Updated 4 years ago
• gregbellan / Stabl
  ☆56Updated 4 months ago
• KrishnaswamyLab / SingleCellWorkshop
  ☆90Updated 4 years ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated 2 months ago
• suinleelab / contrastiveVI
  ☆53Updated last year
• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆48Updated last year
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 3 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆38Updated 2 years ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆72Updated last year
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated last year
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆105Updated 6 months ago
• AltschulerWu-Lab / scScope
  ☆49Updated 5 years ago
• decomverse / ACTIONet
  ACTIONet single-cell analysis framework
  ☆38Updated 6 months ago
• LuyiTian / sc_mixology
  This contains the dataset for comparing scRNA-seq analysis methods
  ☆92Updated 4 years ago
• shuxiaoc / maxfuse
  ☆50Updated 10 months ago
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆30Updated 5 years ago
• zcang / SpaOTsc
  ☆45Updated 2 years ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆59Updated 2 years ago
• Teichlab / bbknn
  Batch balanced KNN
  ☆157Updated last year
• brianhie / geosketch
  Geometry-preserving random sampling
  ☆80Updated 5 months ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• ushaham / BatchEffectRemoval
  ☆55Updated 5 years ago
• bedapub / besca
  BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis
  ☆50Updated 3 weeks ago
• aertslab / arboreto
  A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
  ☆56Updated last year
• gifford-lab / prescient
  Codebase for PRESCIENT (Potential eneRgy undErlying Single Cell gradIENTs) for generative modeling of single-cell time-series.
  ☆46Updated 2 months ago