Alternatives and similar repositories for DeepProg

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

• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆55Updated 2 years ago
• Hua0113 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• Lifoof / MoGCN
  Multi-omics integration method using AE and GCN
  ☆36Updated 2 years ago
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆81Updated 9 months ago
• PayneLab / cptac
  Python packaging for CPTAC data
  ☆96Updated last year
• TencentAILabHealthcare / MLA-GNN
  ☆42Updated 7 months ago
• marakeby / pnet_prostate_paper
  P-NET, Biologically informed deep neural network for prostate cancer classification and discovery
  ☆156Updated 3 years ago
• cantinilab / momix-notebook
  ☆67Updated last year
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆49Updated 6 months ago
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆26Updated 8 months ago
• micrisor / NAT-ML
  ☆33Updated 4 years ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆54Updated last year
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆42Updated 2 months ago
• poseidonchan / TAPE
  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)
  ☆57Updated last year
• AI4SCR / ATHENA
  ☆34Updated 3 weeks ago
• QSong-github / scGCN
  scGCN is a graph convolutional networks algorithm for knowledge transfer in single cell omics
  ☆41Updated 2 years ago
• ZhangLabGT / scMultiSim
  A simulator for single cell multi-omics and spatial omics data that provides ground truth to benchmark a wide range of methods.
  ☆57Updated 6 months ago
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 2 months ago
• Su-informatics-lab / DSTG
  Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence
  ☆39Updated 2 years ago
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆53Updated 2 weeks ago
• ZJUFanLab / scDeepSort
  Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network
  ☆103Updated 2 years ago
• hamiltonoh / organage
  A package to estimate biological organ age using SomaScan plasma proteomics data
  ☆57Updated last year
• xiaoyeye / CCST
  Cell clustering for spatial transcriptomics data with graph neural network
  ☆63Updated 2 years ago
• ruppinlab / PERCEPTION
  Utilizing single-cell omics from patients tumor to predict response and resistance.
  ☆70Updated 2 years ago
• ludvb / xfuse
  Super-resolved spatial transcriptomics by deep data fusion
  ☆74Updated 2 years ago
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆27Updated 10 months ago
• itmoon7 / onconpc
  Clinical sequencing-based primary site classifier
  ☆34Updated last year
• JackieHanLab / TOSICA
  Transformer for One-Stop Interpretable Cell-type Annotation
  ☆143Updated last year
• GlastonburyC / RNAPath
  Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
  ☆30Updated 3 months ago
• TencentAILabHealthcare / scPROTEIN
  ☆52Updated 8 months ago