Alternatives and similar repositories for RNATracker:

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

• melobio / Concerto-reproducibility
  ☆38Updated 2 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
• biomed-AI / GraphSCI
  Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks
  ☆19Updated 10 months ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆49Updated 3 years ago
• ma-compbio / SPEID
  ☆14Updated 7 years ago
• yunchuankong / GEDFN
  GEDFN: Graph-Embedded Deep Feedforward Network
  ☆23Updated 6 years ago
• davidbuterez / CellVGAE
  An unsupervised scRNA-seq analysis workflow with graph attention networks
  ☆24Updated last year
• sunyolo / DeepTFni
  A VGAE-based model to infer transcription factor regulatory network
  ☆26Updated 2 years ago
• ZJUFanLab / scDeepSort_performance_comparison
  The source code and results for different methods on annotating external testing datsets of human and mouse.
  ☆12Updated 4 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• hemberg-lab / sc3s
  Single Cell Consensus Clustering with Speed
  ☆21Updated 2 years ago
• cailab-tamu / scTenifoldNet
  A R/MATLAB package to construct and compare gene regulatory networks from single-cell transcriptomic data
  ☆23Updated 3 months ago
• TeoSakel / deep-drug-response
  ☆19Updated 4 years ago
• epigen / KPNN
  Knowledge-primed neural networks
  ☆36Updated 2 years ago
• hosseinshn / MOLI
  MOLI: Multi-Omics Late Integration with deep neural networks for drug response prediction
  ☆54Updated 4 years ago
• theislab / scgen-reproducibility
  ☆25Updated 4 years ago
• zeochoy / tcga-embedding
  using shallow neural network layer (embedding) to infer gene-gene/sample relationship from gene expression data
  ☆21Updated 6 years ago
• xiaoyeye / CNNC
  covolutional neural network based coexpression analysis
  ☆76Updated 4 years ago
• kodaim1115 / scMM
  ☆17Updated 3 years ago
• pqiu / cooccurrence_clustering
  ☆13Updated 5 years ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆38Updated 2 years ago
• AltschulerWu-Lab / scScope
  ☆49Updated 5 years ago
• zpliulab / GENELink
  ☆29Updated 2 years ago
• ChengF-Lab / autoCell
  ☆15Updated 2 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆41Updated last year
• CABSEL / SINCERITIES
  SINCERITIES is a tool for inferring gene regulatory networks from time-stamped cross-sectional single cell transcriptional expression pro…
  ☆13Updated 7 years ago
• jianlin-cheng / DeepGRN
  Deep learning for modeling gene regulatory network
  ☆22Updated 3 years ago
• cole-trapnell-lab / sci-plex
  repository containing analysis scripts and auxiliary files
  ☆33Updated 5 years ago
• ChihyunPark / DNN_for_ADprediction
  ☆19Updated 4 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…
  ☆16Updated 4 years ago