Alternatives and similar repositories for HowUMAPWorks

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

• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆60Updated 4 years ago
• NikolayOskolkov / tSNE_vs_UMAP_GlobalStructure
  Here we address the global structure preservation by tSNE and UMAP
  ☆48Updated 5 years ago
• quadbio / latent-lego
  Latent spaces for single cells
  ☆21Updated 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
• p-koo / deepomics
  deep learning toolkit (written on top of tensorflow) to streamline computational biology analysis
  ☆23Updated 2 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 4 years ago
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 6 years ago
• scottyler89 / umap_tsne_experiment
  Testing if UMAP/tSNE overfit their intrinsic dimensionality
  ☆15Updated last year
• KrishnaswamyLab / graphtools
  Tools for building and manipulating graphs in Python
  ☆41Updated 2 years ago
• cssblab / iOmicsPASS
  Data Integration tool utilizing network information for predictive analyses
  ☆16Updated 3 weeks ago
• fabriziocosta / GraphEmbed
  Compute a 2D embedding of a data matrix given supervised class information.
  ☆12Updated 5 years ago
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆18Updated 6 years ago
• omiq-ai / Multicore-opt-SNE
  Parallel opt-SNE implementation with Python wrapper
  ☆37Updated 2 years ago
• berenslab / rna-seq-tsne
  The art of using t-SNE for single-cell transcriptomics
  ☆125Updated 6 months ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆53Updated 8 months ago
• cantinilab / OT-scOmics
  This Python package will allow you to replicate the experiments from our research on applying Optimal Transport as a similarity metric in…
  ☆38Updated 2 years ago
• mims-harvard / pathways
  Disease pathways in the human interactome
  ☆22Updated 7 years ago
• flo-compbio / monet
  Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
  ☆39Updated 3 years ago
• greenelab / BioBombe
  BioBombe: Sequentially compressed gene expression features enhances biological signatures
  ☆65Updated 11 months ago
• shwhalen / ml-pitfalls
  Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"
  ☆45Updated last year
• kundajelab / seqdataloader
  Sequence data label generation and ingestion into deep learning models
  ☆12Updated 3 years ago
• ManchesterBioinference / BranchedGP
  Branching Gaussian process
  ☆30Updated 2 years ago
• aristoteleo / Scribe-py
  Regulatory networks with Direct Information in python
  ☆40Updated 2 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆55Updated 2 years ago
• idekerlab / pyNBS
  Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)
  ☆37Updated 7 months ago
• Teichlab / MultiMAP
  MultiMAP for integration of single cell multi-omics
  ☆56Updated last year
• davisidarta / topometry
  Systematically learn and evaluate manifolds from high-dimensional data
  ☆98Updated last year
• czbiohub-sf / simscity
  A library to simulate single-cell data
  ☆2Updated 2 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆23Updated 2 years ago