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
• raivokolde / RobustRankAggreg
  R implementation of Robust Rank Aggregation algortihm
  ☆10Updated 2 years ago
• ppsp-team / StratiPy
  Graph regularized nonnegative matrix factorization (GNMF) in Python
  ☆45Updated 5 years ago
• idc9 / py_jive
  A data analysis package for high-dimensional, multi-block data.
  ☆12Updated 3 years ago
• vals / Blog
  ☆37Updated this week
• flo-compbio / monet
  Monet: An open-source Python package for analyzing scRNA-Seq data using PCA-based latent spaces
  ☆39Updated 3 years ago
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆18Updated 6 years ago
• OSU-BMBL / QUBIC2
  A novel biclustering algorithm for analyses of transcriptomic data.
  ☆18Updated 5 years ago
• RabadanLab / randomly
  A Library for Denoising Single-Cell Data with Random Matrix Theory
  ☆37Updated last year
• NikolayOskolkov / HowUMAPWorks
  Here I explain the math behind UMAP and show how to program it from scratch in Python
  ☆38Updated 4 years ago
• zhangxiaoyu11 / XOmiVAE
  An interpretable deep learning model for cancer classification using high-dimensional omics data
  ☆15Updated 3 years ago
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆59Updated 4 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 5 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
• 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
• fabriziocosta / GraphEmbed
  Compute a 2D embedding of a data matrix given supervised class information.
  ☆12Updated 5 years ago
• daniel-spies / rna-seq_tcComp
  Comparison of RNA-seq time course differential expression analysis tools
  ☆12Updated 7 years ago
• audreyqyfu / LATE
  Imputation of single cell RNA-sequencing data with autoencoder
  ☆16Updated 3 years ago
• ntranoslab / celltypewriter
  ☆13Updated last year
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 6 years ago
• rezacsedu / Convolutional-embedded-networks
  Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing
  ☆11Updated 5 years ago
• calico / scmmd
  Maximum mean discrepancy comparisons for single cell profiling experiments
  ☆15Updated 3 years ago
• millett / pathology_learning
  Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.
  ☆18Updated 6 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 4 years ago
• angy89 / RobustSparseCorrelation
  This is the R implementation of a robust correlation matrix estimator usefull in case of high-dimensional data to remove the bias. It al…
  ☆13Updated 6 years ago
• cantinilab / momix-notebook
  ☆65Updated last year
• yeminlan / ADEpigenetics
  Main codes for AD epigenetics paper by Nativio et al.
  ☆11Updated 5 years ago
• KChen-lab / SCMER
  Marker Selection by matching manifolds and elastic net
  ☆23Updated 5 months ago
• mematt / ml4calibrated450k
  This is a companion repository for the article "Comparative analysis of machine learning classifiers and calibration algorithms for estim…
  ☆22Updated 3 years ago