Alternatives and similar repositories for Multicore-opt-SNE

Users that are interested in Multicore-opt-SNE are comparing it to the libraries listed below

• berenslab / rna-seq-tsne
  The art of using t-SNE for single-cell transcriptomics
  ☆130Updated last year
• pachterlab / picasso
  Picasso: a methods for embedding points in 2D in a way that respects distances while fitting a user-specified shape.
  ☆71Updated 3 months ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆57Updated last year
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆61Updated 4 years ago
• KrishnaswamyLab / scprep
  A collection of scripts and tools for loading, processing, and handling single cell data.
  ☆76Updated 3 months ago
• BIRSBiointegration / Hackathon
  Multi-omics studies are available here
  ☆52Updated 3 years ago
• KrishnaswamyLab / SAUCIE
  ☆102Updated last year
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆19Updated 7 years ago
• pachterlab / CBP_2021
  ☆16Updated 4 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆74Updated 3 years ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆50Updated 2 years ago
• eiriniar / CellCnn
  Representation Learning for detection of phenotype-associated cell subsets
  ☆66Updated 5 years ago
• dkobak / finer-tsne
  Code for the paper on t-SNE with variable degree of freedom
  ☆25Updated 5 years ago
• pachterlab / MCML
  ☆33Updated 4 years ago
• greenelab / BioBombe
  BioBombe: Sequentially compressed gene expression features enhances biological signatures
  ☆65Updated last year
• marrlab / HematoFatePrediction
  Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…
  ☆20Updated 3 weeks ago
• brentp / combat.py
  python / numpy / pandas / patsy version of ComBat for removing batch effects.
  ☆105Updated 7 years ago
• flo-compbio / monet
  Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
  ☆40Updated 4 years ago
• berenslab / umi-normalization
  Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Gen…
  ☆40Updated 3 years ago
• KrishnaswamyLab / MELD
  Quantifying experimental perturbations at single cell resolution
  ☆112Updated last year
• theislab / trVAE
  Conditional out-of-distribution prediction
  ☆62Updated last year
• canzarlab / JVis-learn
  ☆20Updated 4 years ago
• greenelab / multi-plier
  An unsupervised transfer learning approach for rare disease transcriptomics
  ☆46Updated 5 years ago
• nolanlab / vortex
  VorteX Clustering Environment - Java graphical tool for single-cell analysis, clustering and visualization. Latest release:
  ☆34Updated 2 years ago
• yanwu2014 / swne
  Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets
  ☆106Updated 2 years ago
• ushaham / BatchEffectRemoval
  ☆56Updated 5 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆60Updated 3 years ago
• srp33 / ShinyLearner
  ShinyLearner: a software framework for performing benchmarks of machine-learning classification algorithms
  ☆18Updated 4 years ago
• calico / velodyn
  Dynamical systems methods for RNA velocity analysis
  ☆24Updated 4 years ago
• dpeerlab / PhenoGraph
  Subpopulation detection in high-dimensional single-cell data
  ☆73Updated 5 years ago