edianfranklin / autoencoder_for_cancer_subtype

Related projects ⓘ

Alternatives and complementary repositories for autoencoder_for_cancer_subtype

• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆31Updated last year
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆34Updated 2 years ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆48Updated 3 months ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆100Updated last year
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆56Updated last year
• jsxlei / SCALEX
  Online single-cell data integration through projecting heterogeneous datasets into a common cell-embedding space
  ☆72Updated 3 weeks ago
• cantinilab / momix-notebook
  ☆61Updated 11 months ago
• jsxlei / SCALE
  Single-cell ATAC-seq analysis via Latent feature Extraction
  ☆100Updated last year
• LewisLabUCSD / Ligand-Receptor-Pairs
  Compendium of available lists of ligand-receptor pairs and surface-secreted protein interactions.
  ☆119Updated last year
• QuKunLab / SpatialBenchmarking
  ☆107Updated 2 years ago
• lanagarmire / Asgard
  ☆40Updated 9 months ago
• ZJUFanLab / bulk2space
  a spatial deconvolution method based on deep learning frameworks, which converts bulk transcriptomes into spatially resolved single-cell …
  ☆114Updated last year
• SydneyBioX / scJoint
  ☆60Updated last year
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆24Updated last month
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆40Updated 2 years ago
• wukevin / babel
  Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
  ☆38Updated last year
• Durenlab / LINGER
  ☆78Updated last week
• ELELAB / TCGAbiolinks_examples
  repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks
  ☆14Updated 2 years ago
• rajewsky-lab / novosparc
  ☆126Updated 11 months ago
• tianshilu / pMTnet
  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen
  ☆76Updated 2 years ago
• hui2000ji / scETM
  A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.
  ☆48Updated 2 years ago
• theislab / scib-reproducibility
  Additional code and analysis from the single-cell integration benchmarking project
  ☆54Updated last year
• brianpenghe / Bio-Jobs
  A list of positions (mostly biology-related) open to apply
  ☆32Updated last week
• azizilab / starfysh
  Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
  ☆104Updated 2 months ago
• zcang / SpaOTsc
  ☆44Updated last year
• zhoux85 / STAligner
  STAligner is a tool for alignment and integration of spatially resolved transcriptomics data.
  ☆29Updated 7 months ago
• LieberInstitute / spatialLIBD
  Code for the spatialLIBD R/Bioconductor package and shiny app
  ☆83Updated last week
• digitalcytometry / cytospace
  CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data
  ☆115Updated 6 months ago
• drieslab / spatial-datasets
  overview of spatial datasets
  ☆67Updated 8 months ago
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆53Updated 5 months ago