Alternatives and similar repositories for Chronoclust:

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

• danro9685 / CIMLR
  Implementations in both Matlab and R of the CIMLR method. The manuscript of the method is available at: https://www.nature.com/articles/s…
  ☆17Updated last year
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 5 years ago
• fabriziocosta / GraphEmbed
  Compute a 2D embedding of a data matrix given supervised class information.
  ☆12Updated 5 years ago
• vals / Blog
  ☆37Updated last year
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆18Updated 6 years ago
• audreyqyfu / LATE
  Imputation of single cell RNA-sequencing data with autoencoder
  ☆16Updated 3 years ago
• raphael-group / netNMF-sc
  netNMF-sc: A network regularization algorithm for dimensionality reduction and imputation of single-cell expression data
  ☆22Updated 3 years ago
• raivokolde / RobustRankAggreg
  R implementation of Robust Rank Aggregation algortihm
  ☆10Updated 2 years ago
• eugenelin1 / DRA
  ☆16Updated 4 years ago
• SUwonglab / CoupledNMF
  Coupled clustering of single cell genomic data
  ☆12Updated 3 years ago
• ccshao / nimfa
  nimfa - A Python Library for Nonnegative Matrix Factorization Techniques
  ☆10Updated 6 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• wagnerde / STITCH
  Assembles a graph manifold from time series single-cell RNAseq data
  ☆17Updated 3 years ago
• daniel-spies / rna-seq_tcComp
  Comparison of RNA-seq time course differential expression analysis tools
  ☆12Updated 7 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 4 years ago
• yanailab / knn-smoothing
  K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data
  ☆54Updated 2 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 5 years ago
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆15Updated 3 years ago
• KChen-lab / SCMER
  Marker Selection by matching manifolds and elastic net
  ☆23Updated 5 months ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• flo-compbio / monet
  Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
  ☆39Updated 3 years ago
• bioFAM / mofax
  Work with trained factor models in Python
  ☆31Updated 5 months ago
• mehmetgonen / bmtmkl
  Bayesian Multitask Multiple Kernel Learning
  ☆18Updated 7 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆59Updated 4 years ago
• yeminlan / ADEpigenetics
  Main codes for AD epigenetics paper by Nativio et al.
  ☆11Updated 5 years ago
• princethewinner / FiRE
  ☆25Updated 5 years ago
• andrewcharlesjones / cplvm
  Contrastive Poisson latent variable models (CPLVMs)
  ☆11Updated 3 years ago
• VCCRI / CIDR
  Clustering through Imputation and Dimensionality Reduction
  ☆62Updated 7 years 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
• davisidarta / dbMAP
  A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions…
  ☆48Updated 3 years ago