Alternatives and similar repositories for archetypes:

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

• bmda-unibas / DeepArchetypeAnalysis
  TensorFlow-Implementation of Deep Archetypal Analysis
  ☆13Updated 3 years ago
• KrishnaswamyLab / AAnet
  Archetypal Analysis network (AAnet)
  ☆33Updated 3 months ago
• zhangys11 / pyDRMetrics
  A Python toolkit for dimensionality reduction quality assessment
  ☆15Updated 2 years ago
• biocompibens / pySpacell
  A Python package for single-cell spatial image analysis.
  ☆18Updated last year
• quantixed / manuscript-templates
  LaTeX templates for manuscripts. bioRxiv preprint and journal submission templates. For use on Overleaf.
  ☆83Updated 11 months ago
• rockdeme / chrysalis
  Powerful and lightweight package to identify tissue compartments in spatial transcriptomics datasets.
  ☆16Updated 5 months ago
• berenslab / mini-atlas
  Phenotypic variation of transcriptomic cell types in mouse motor cortex
  ☆25Updated 3 years ago
• pachterlab / CBP_2021
  ☆16Updated 3 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• andrewcharlesjones / pcpca
  Probabilistic contrastive principal component analysis (PCPCA)
  ☆24Updated 3 years ago
• j-bac / elpigraph-python
  Python implementation of the ElPiGraph algorithm with cpu and gpu support
  ☆17Updated 7 months ago
• Genentech / sVAE
  ☆61Updated last year
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆48Updated 5 years ago
• bagrow / network-portrait-divergence
  An information-theoretic, all-scales approach to comparing networks
  ☆32Updated 2 years ago
• andrewcharlesjones / spatial-alignment
  Alignment of spatial genomics data using deep Gaussian processes
  ☆27Updated 2 years ago
• Jinke-Liu / Distance-of-distance-tSNE
  ☆10Updated last year
• lujonathanh / BETS
  Bootstrap Elastic net regression from Time Series is a vector-autoregressive approach to causal inference from gene expression time serie…
  ☆20Updated 2 years ago
• CamaraLab / CAJAL
  A Python package using Gromov-Wasserstein distance to compare cell shapes
  ☆17Updated 2 months ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• bowang-lab / scFormer
  ☆19Updated 2 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• carpenter-singh-lab / 2023_Cimini_NatureProtocols
  Optimizing the Cell Painting assay for image-based profiling
  ☆20Updated 4 months ago
• JacobHanimann / scDINO
  Self-Supervised Vision Transformers for multiplexed imaging datasets
  ☆51Updated 10 months ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 2 years ago
• cantinilab / Mowgli
  Single-cell multi-omics integration using Optimal Transport
  ☆43Updated 8 months ago
• neurodata / lollipop
  Linear Optimal Low Rank Projection
  ☆18Updated 5 years ago
• willtownes / nsf-paper
  Nonnegative spatial factorization for multivariate count data
  ☆58Updated last year
• welch-lab / MichiGAN
  Learning disentangled representations of single-cell data for high-quality generation
  ☆16Updated last year
• msmdev / pyGPCCA
  pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state mo…
  ☆21Updated last month
• ZigaSajovic / Consensus_Clustering
  An implementation of Consensus clustering in Python
  ☆61Updated last year