Natasa Przulj

2019

• Graphlet Laplacians for topology-function and topology-disease relationships

  Bioinformatics

  S. F. L. Windels, N. Malod-Dognin, and N. Pržulj
• Analyzing Network Data in Biology and MedicineMachine Learning for Data Integration in Cancer Precision Medicine: Matrix Factorization Approaches
• Analyzing Network Data in Biology and MedicineFrom Genetic Data to Medicine: From DNA Samples to Disease Risk Prediction in Personalized Genetic Tests
• Analyzing Network Data in Biology and MedicineIntroduction to Graph and Network Theory
• Analyzing Network Data in Biology and MedicineAnalysis of the Signatures of Cancer Stem Cells in Malignant Tumors Using Protein Interactomes and the STRING Database
• Analyzing Network Data in Biology and Medicine
• Analyzing Network Data in Biology and Medicine. An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

  N. Pržulj
• Functional geometry of protein interactomes

  Bioinformatics

  N. Malod-Dognin, and N. Pržulj
• Towards a data-integrated cell

  Nature Communications

  N. Malod-Dognin, J. Petschnigg, S. F. L. Windels, J. Povh, H. Hemmingway, R. Ketteler, and N. Pržulj

2018

• Precision medicine ― A promising, yet challenging road lies ahead

  Current Opinion in Systems Biology

  N. Malod-Dognin, J. Petschnigg, and N. Pržulj