Alternatives and similar repositories for neoadjuvant-therapy-response-predictor

Users that are interested in neoadjuvant-therapy-response-predictor are comparing it to the libraries listed below

• micrisor / NAT-ML
  ☆33Updated 4 years ago
• lanagarmire / DeepProg
  Deep-Learning framework for multi-omic and survival data integration
  ☆84Updated last year
• PayneLab / cptac
  Python packaging for CPTAC data
  ☆96Updated last year
• azizilab / starfysh
  Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
  ☆119Updated 3 months ago
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆42Updated 3 months ago
• ruppinlab / PERCEPTION
  Utilizing single-cell omics from patients tumor to predict response and resistance.
  ☆71Updated 2 years ago
• AI4SCR / ATHENA
  ☆35Updated 2 months ago
• rajewsky-lab / openst
  Open-ST: profile and analyze tissue transcriptomes in 3D with high resolution in your lab
  ☆105Updated 2 months ago
• mexchy1000 / CellDART
  domain adaptation of spatial and single-cell transcriptome
  ☆27Updated 11 months ago
• ludvb / xfuse
  Super-resolved spatial transcriptomics by deep data fusion
  ☆74Updated 2 years ago
• fsct135 / DCAP
  DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis
  ☆21Updated 4 years ago
• SBIlab / NetBio
  ☆34Updated 3 years ago
• romain-lopez / DestVI-reproducibility
  Reproducing the experiments of the DestVI paper
  ☆19Updated 3 years ago
• Patchouli-M / SequencingCancerFinder
  ☆37Updated 3 months ago
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆27Updated 9 months ago
• cantinilab / momix-notebook
  ☆67Updated last year
• YangLabHKUST / SpatialScope
  A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
  ☆73Updated last year
• ELELAB / TCGAbiolinks_examples
  repository with the scripts to run examples of the publications with new functionalities of TCGAbiolinks
  ☆16Updated 3 years ago
• gevaertlab / GBM360
  Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications
  ☆25Updated last year
• GlastonburyC / RNAPath
  Self-supervised representation learning combining GTEx histology, RNA-seq and WGS
  ☆30Updated 5 months ago
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆53Updated 2 weeks ago
• RasmussenLab / MOVE
  MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
  ☆84Updated 10 months ago
• jianhuupenn / ItClust
  Iterative transfer learning with neural network improves clustering and cell type classification in single-cell RNA-seq analysis
  ☆54Updated 3 months ago
• OSU-BMBL / scDEAL
  Deep Transfer Learning of Drug Sensitivity by Integrating Bulk and Single-cell RNA-seq data
  ☆55Updated last year
• drieslab / awesome-spatial-data-analysis
  Awesome list of tools and methods to perform spatial transcriptomic data analysis.
  ☆46Updated 4 years ago
• mdozmorov / TCGAsurvival
  Scripts to analyze TCGA data
  ☆122Updated last year
• KevinMenden / scaden
  Deep Learning based cell composition analysis with Scaden.
  ☆82Updated 10 months ago
• QuKunLab / MultiomeBenchmarking
  ☆50Updated 6 months ago
• GerkeLab / TCGAclinical
  Clinical data for the TCGA PanCancer Atlas
  ☆16Updated 6 years ago
• KrishnaswamyLab / SingleCellWorkshop
  ☆93Updated 4 years ago