Natasa Przulj

2021

• Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates

  Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates

  C. Zambrana, A. Xenos, R. Böttcher, N. Malod-Dognin, and N. Pržulj
• Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem

  Journal of Global Optimization

  R. Hribar, T. Hrga, G. Papa, G. Petelin, J. Povh, N. Pržulj, and V. Vukašinović
• Integrative Data Analytic Framework to Enhance Cancer Precision Medicine

  Network and Systems Medicine

  T. Gaudelet, N. Malod-Dognin, and N. Pržulj
• Linear functional organization of the omic embedding space

  Bioinformatics

  A. Xenos, N. Malod-Dognin, S. Milinković, and N. Pržulj
• Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets

  Bioinformatics

  D. A. Salazar, N. Pržulj, and C. F. Valencia

2020

• Classification in biological networks with hypergraphlet kernels

  Bioinformatics

  J. Lugo-Martinez, D. Zeiberg, T. Gaudelet, N. Malod-Dognin, N. Pržulj, and P. Radivojac
• Antiproliferative activity and mode of action analysis of novel amino and amido substituted phenantrene and naphtho[2,1-b]thiophene derivatives

  European Journal of Medicinal Chemistry

  N. Perin, V. Rep, I. Sović, Š. Juričić, D. Selgrad, M. Klobučar, N. Pržulj, C. Lal Gupta, N. Malod-Dognin, S. Kraljević Pavelić, and M. Hranjec
• Unveiling new disease, pathway, and gene associations via multi-scale neural network

  PLOS ONE

  T. Gaudelet, N. Malod-Dognin, J. Sánchez-Valle, V. Pancaldi, A. Valencia, and N. Pržulj
• Chromatin network markers of leukemia

  Bioinformatics

  N. Malod-Dognin, V. Pancaldi, A. Valencia, and N. Pržulj
• Probabilistic graphlets capture biological function in probabilistic molecular networks

  Bioinformatics

  S. Doria-Belenguer, M. K. Youssef, R. Böttcher, N. Malod-Dognin, and N. Pržulj