Alternatives and similar repositories for oncoGAN

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

• bowang-lab / IntegrAO
  Integrate Any Omics: Towards genome-wide data integration for patient stratification
  ☆55Updated last month
• czi-ai / transcriptformer
  ☆52Updated this week
• LincolnSteinLab / MMDRP
  Drug Response Prediction and Biomarker Discovery Using Multi-Modal Deep Learning
  ☆14Updated last year
• BIMSBbioinfo / flexynesis
  A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner
  ☆54Updated last week
• instadeepai / multiomics-open-research
  BulkRNABert: Cancer prognosis from bulk RNA-seq based language models
  ☆25Updated last week
• DendrouLab / panpipes
  Multi-modal single cell analysis pipelines
  ☆59Updated this week
• ratschlab / DeepSpot
  DeepSpot: Leveraging Spatial Context for Enhanced Spatial Transcriptomics Prediction from H&E Images
  ☆49Updated 2 weeks ago
• mims-harvard / COMPASS
  Generalizable AI predicts immunotherapy outcomes across cancers and treatments
  ☆36Updated last month
• epigen / KPNN
  Knowledge-primed neural networks
  ☆38Updated 2 years ago
• ruppinlab / PERCEPTION
  Utilizing single-cell omics from patients tumor to predict response and resistance.
  ☆69Updated 2 years ago
• scverse / spatialdata-notebooks
  ☆53Updated last week
• BoevaLab / CancerFoundation
  CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
  ☆18Updated this week
• scverse / muon-tutorials
  Tutorials for multimodal omics data analysis
  ☆14Updated 3 months ago
• Genentech / polygraph
  Polygraph evaluates and compares groups of nucleic acid sequences based on their sequence and functional content for effective design of …
  ☆32Updated 3 months ago
• zou-group / CellVoyager
  ☆45Updated 2 weeks ago
• ArcInstitute / scRecounter
  Nextflow pipeline to re-process all public single-cell RNA-seq data
  ☆24Updated last month
• suinleelab / deepprofile-study
  Code for paper "A deep profile of gene expression across 18 human cancers"
  ☆25Updated 6 months ago
• cclab-brca / neoadjuvant-therapy-response-predictor
  ☆55Updated 2 years ago
• mostafavilabuw / EnformerAssessment
  ☆23Updated 10 months ago
• huangzhii / biolearns
  BioLearns: Computational Biology and Bioinformatics Toolbox in Python
  ☆12Updated 2 years ago
• gevaertlab / sequoia-pub
  SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
  ☆41Updated 3 weeks ago
• HakimBenkirane / CustOmics
  A deep-learning framework for multi-omics integration
  ☆26Updated last year
• STRIDES / NIHCloudLabGCP
  Documentation and tutorials on using GCP for biomedical research
  ☆31Updated last month
• burtonrj / CytoPy
  A data-centric flow/mass cytometry automated analysis framework
  ☆41Updated 5 months ago
• carpenter-singh-lab / 2022_Haghighi_NatureMethods
  High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
  ☆48Updated 5 months ago
• ICGC-TCGA-PanCancer / TumorType-WGS
  Classifying tumor types based on Whole Genome Sequencing (WGS) data
  ☆48Updated last year
• getzlab / CLUMPS-PTM
  CLUMPS adapted to post-translational modifications.
  ☆9Updated last month
• BIMSBbioinfo / maui
  Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit
  ☆49Updated last year
• lcamillo / CpGPT
  CpGPT: a Foundation Model for DNA Methylation.
  ☆43Updated last week
• rahuldhodapkar / cell2sentence
  Create cell sentences from sequencing data
  ☆22Updated 10 months ago