Alternatives and similar repositories for Consensus_Clustering

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

• cantinilab / momix-notebook
  ☆66Updated 2 years ago
• rmarkello / snfpy
  Similarity network fusion in Python
  ☆90Updated 5 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆57Updated last year
• bowang87 / SIMLR_PY
  Python Implementation of SIMLR for single-cell visualization and analysis
  ☆24Updated 3 years ago
• vandijklab / scGAT
  Code to reproduce results in Ravindra NG* & Sehanobish A* et al. 2020, "Disease State Prediction From Single-Cell Data Using Graph Attent…
  ☆18Updated 5 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 6 years ago
• ChihyunPark / DNN_for_ADprediction
  ☆20Updated 4 years ago
• BoyuLyu / DL-based-Tumor-Classification
  Deep Learning Based Tumor Type Classification Using Gene Expression Data
  ☆27Updated last year
• KrishnaswamyLab / SAUCIE
  ☆102Updated last year
• rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
  Deep Learning-based Clustering Approaches for Bioinformatics
  ☆141Updated 4 years ago
• maxconway / SNFtool
  Similarity Network Fusion
  ☆37Updated 10 years ago
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 7 months ago
• dpeerlab / PhenoGraph
  Subpopulation detection in high-dimensional single-cell data
  ☆73Updated 5 years ago
• scvae / scvae
  Deep learning for single-cell transcript counts
  ☆88Updated 10 months ago
• txWang / BERMUDA
  BERMUDA (Batch Effect ReMoval Using Deep Autoencoders) is a novel transfer-learning-based method for batch correction in scRNA-seq data.
  ☆31Updated 6 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆55Updated 4 years ago
• lab-conrad / resVAE
  resVAE is a restricted latent variational autoencoder that we wrote to uncover hidden structures in gene expression data, especially usin…
  ☆12Updated 2 years ago
• suinleelab / MD-AD
  ☆11Updated 2 years ago
• huangzhii / SALMON
  SALMON: Survival Analysis Learning with Multi-Omics Neural Networks
  ☆66Updated last year
• Henrik86 / Topological-tumour-graphs
  ☆11Updated 6 years ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 4 years ago
• ttgump / scDeepCluster
  scDeepCluster for Single Cell RNA-seq data
  ☆105Updated last year
• willtownes / glmpca-py
  generalized principal component analysis (GLM-PCA) implemented in python
  ☆61Updated 4 years ago
• Shamir-Lab / Multi-Omics-Cancer-Benchmark
  ☆26Updated 5 years ago
• runpuchen / DeepType
  ☆21Updated 5 years ago
• juexinwang / scGNN
  scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks
  ☆154Updated last year
• CaiGroup / seqFISH-PLUS
  ☆53Updated 4 years ago
• snap-stanford / mars
  Discovering novel cell types across heterogenous single-cell experiments
  ☆123Updated 3 years ago
• yangzi4 / iNMF
  Source code for integrative nonnegative matrix factorization
  ☆19Updated 7 years ago
• eleozzr / desc
  Deep Embedding for Single-cell Clustering
  ☆89Updated last year