Author Chereda, Hryhorii

1 to 4 of 4 Items
  • 2019 | Book Chapter
    ​ ​Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer​
    Chereda, H.; Bleckmann, A.; Kramer, F.; Leha, A.& Beißbarth, T. ​ (2019)
    In: Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer pp. 181​-186.  DOI: https://doi.org/10.3233/SHTI190824 
    ​Details  DOI  PMID  PMC 
  • 2021 | Journal Article | Research Paper | 
    ​ ​Text mining-based word representations for biomedical data analysis and protein-protein interaction networks in machine learning tasks​
    Alachram, H.; Chereda, H.; Beißbarth, T. ; Wingender, E.   & Stegmaier, P.​ (2021) 
    PLoS One, 16(10) art. e0258623​.​ DOI: https://doi.org/10.1371/journal.pone.0258623 
    ​Details  DOI 
  • 2021 | Journal Article | 
    ​ ​Explaining decisions of graph convolutional neural networks: patient-specific molecular subnetworks responsible for metastasis prediction in breast cancer​
    Chereda, H.; Bleckmann, A.; Menck, K.; Perera-Bel, J.; Stegmaier, P.; Auer, F. & Kramer, F. et al.​ (2021) 
    Genome Medicine, 13(1) art. 42​.​ DOI: https://doi.org/10.1186/s13073-021-00845-7 
    ​Details  DOI 
  • 2023 | Journal Article
    ​ ​Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification​
    Pfeifer, B.; Chereda, H.; Martin, R.; Saranti, A.; Clemens, S.; Hauschild, A.-C. & Beißbarth, T. et al.​ (2023) 
    Bioinformatics, 39(11) art. btad703​.​ DOI: https://doi.org/10.1093/bioinformatics/btad703 
    ​Details  DOI 

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