Alternatives and similar repositories for GDP

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

• cssblab / iOmicsPASS
  Data Integration tool utilizing network information for predictive analyses
  ☆16Updated last year
• KlugerLab / deepcytof
  ☆18Updated 8 years ago
• jlakkis / CarDEC
  ☆19Updated 4 years ago
• KrishnaswamyLab / Multiscale_PHATE
  Creating multi-resolution embeddings and clusters from high dimensional data
  ☆53Updated 7 months ago
• trungnt13 / sisua
  SemI-SUpervised generative Autoencoder models for single cell data
  ☆18Updated 4 years ago
• doraadong / UNIFAN
  Unsupervised cell functional annotation for single-cell RNA-Seq
  ☆22Updated 2 years ago
• fabriziocosta / GraphEmbed
  Compute a 2D embedding of a data matrix given supervised class information.
  ☆12Updated 5 years ago
• xiaoyeye / GCNG
  using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions
  ☆56Updated 3 years ago
• alberto-valdeolivas / RandomWalkRestartMH
  A package to perform Random Walk with Restart on different types of networks
  ☆21Updated 2 years ago
• mickaelleclercq / BioDiscML
  Large-scale automatic feature selection for biomarker discovery in high-dimensional OMICs data
  ☆29Updated last year
• marrlab / HematoFatePrediction
  Code accompanying "Prospective identification of hematopoietic lineage choice by deep learning", Nature methods 2017, DOI:10.1038/nmeth.4…
  ☆20Updated 2 years ago
• greenelab / multi-plier
  An unsupervised transfer learning approach for rare disease transcriptomics
  ☆45Updated 5 years ago
• maxconway / SNFtool
  Similarity Network Fusion
  ☆32Updated 9 years ago
• TeoSakel / deep-drug-response
  ☆19Updated 4 years ago
• lkmklsmn / insct
  scRNAseq integration with triplet neural networks
  ☆40Updated 2 years ago
• NikolayOskolkov / DeepLearningSingleCellBiology
  Here I show how to use Deep Autoencoders for single cell RNA sequencing data analysis
  ☆19Updated 6 years ago
• nicococo / scRNA
  Python framework for single-cell RNA-seq clustering with special focus on transfer learning.
  ☆18Updated 5 years ago
• idekerlab / pyNBS
  Python 2.7 implementation of network-based stratification (NBS) algorithm from Hofree et al (Nature Methods 2013)
  ☆37Updated 6 months ago
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated last year
• lanagarmire / deepimpute
  An accurate and efficient deep learning method for single-cell RNA-seq data imputation
  ☆88Updated 3 years ago
• seasamgo / rescue
  Bootstrap imputation for scRNAseq data
  ☆12Updated 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
• 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
• CancerRxGene / gdscIC50
  An R package to fit dose response curves for data from the Genomics of Drug Sensitivity of Cancer (GDSC) project.
  ☆26Updated last year
• CamaraLab / TDA-TCGA
  R package for the identification of cancer-associated mutated genes using gene expression and mutation data.
  ☆10Updated 3 years ago
• srp33 / ShinyLearner
  ShinyLearner: a software framework for performing benchmarks of machine-learning classification algorithms
  ☆18Updated 3 years ago
• cooperlab / TCGAIntegrator
  Python utilities for building integrated views of TCGA data.
  ☆32Updated 7 years ago
• simslab / scHPF
  Single-cell Hierarchical Poisson Factorization
  ☆69Updated 2 years ago
• campbio / scruff
  Single Cell RNA-seq UMI Filtering Facilitator
  ☆8Updated last year
• mila-iqia / gene-graph-conv
  Towards Gene Expression Convolutions using Gene Interaction Graphs
  ☆74Updated 3 years ago