Minimum Average Time Broadcast Graphs. - Arthur L. Liestman; Natasa Przulj (Parallel Process. Lett., 1998)

Protein complex prediction via cost-based clustering. - Andrew D. King; Natasa Przulj; Igor Jurisica (Bioinform., 2004)

Modeling interactome: scale-free or geometric?. - Natasa Przulj; Derek G. Corneil; Igor Jurisica (Bioinform., 2004)

Functional topology in a network of protein interactions. - Natasa Przulj; Dennis A. Wigle; Igor Jurisica (Bioinform., 2004)

Hereditary dominating pair graphs. - Natasa Przulj; Derek G. Corneil; Ekkehard Köhler (Discret. Appl. Math., 2004)

2-Tree probe interval graphs have a large obstruction set. - Natasa Przulj; Derek G. Corneil (Discret. Appl. Math., 2005)

Analyzing large biological networks: protein-protein interactions example. - Natasa Przulj (2005)

Not All Scale Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Emulation. - Fereydoun Hormozdiari; Petra Berenbrink; Natasa Przulj; Süleyman Cenk Sahinalp (Systems Biology and Computational Proteomics, 2006)

Efficient estimation of graphlet frequency distributions in protein-protein interaction networks. - Natasa Przulj; Derek G. Corneil; Igor Jurisica (Bioinform., 2006)

Biological network comparison using graphlet degree distribution. - Natasa Przulj (Bioinform., 2007)

Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution. - Fereydoun Hormozdiari; Petra Berenbrink; Natasa Przulj; Süleyman Cenk Sahinalp (PLoS Comput. Biol., 2007)

Fitting a geometric graph to a protein-protein interaction network. - Desmond J. Higham; Marija Rasajski; Natasa Przulj (Bioinform., 2008)

GraphCrunch: A tool for large network analyses. - Tijana Milenkovic; Jason Lai; Natasa Przulj (BMC Bioinform., 2008)

Learning the Structure of Protein-Protein Interaction Networks. - Oleksii Kuchaiev; Natasa Przulj (Pacific Symposium on Biocomputing, 2009)

Geometric De-noising of Protein-Protein Interaction Networks. - Oleksii Kuchaiev; Marija Rasajski; Desmond J. Higham; Natasa Przulj (PLoS Comput. Biol., 2009)

From Topology to Phenotype in Protein-Protein Interaction Networks. - Natasa Przulj (Network Science, 2010)

Geometric Evolutionary Dynamics of Protein Interaction Networks. - Natasa Przulj; Oleksii Kuchaiev; Aleksandar Stevanovic; Wayne B. Hayes (Pacific Symposium on Biocomputing, 2010)

Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets. - Hsiang Ho; Tijana Milenkovic; Vesna Memisevic; Jayavani Aruri; Natasa Przulj; Anand K. Ganesan (BMC Syst. Biol., 2010)

An integrative approach to modeling biological networks. - Vesna Memisevic; Tijana Milenkovic; Natasa Przulj (J. Integr. Bioinform., 2010)

Complementarity of network and sequence information in homologous proteins. - Vesna Memisevic; Tijana Milenkovic; Natasa Przulj (J. Integr. Bioinform., 2010)

A framework for FPGA acceleration of large graph problems: Graphlet counting case study. - Brahim Betkaoui; David B. Thomas; Wayne Luk; Natasa Przulj (FPT, 2011)

Integrative network alignment reveals large regions of global network similarity in yeast and human. - Oleksii Kuchaiev; Natasa Przulj (Bioinform., 2011)

GraphCruch 2: Software tool for network modeling, alignment and clustering. - Oleksii Kuchaiev; Aleksandar Stevanovic; Wayne B. Hayes; Natasa Przulj (BMC Bioinform., 2011)

Introduction to the Special Issue on Biological Networks. - Natasa Przulj (Internet Math., 2011)

Graphlet-based measures are suitable for biological network comparison. - Wayne B. Hayes; Kai Sun 005; Natasa Przulj (Bioinform., 2013)

Integration of molecular network data reconstructs Gene Ontology. - Vladimir Gligorijevic; Vuk Janjic; Natasa Przulj (Bioinform., 2014)

GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity. - Noël Malod-Dognin; Natasa Przulj (Bioinform., 2014)

Predicting disease associations via biological network analysis. - Kai Sun 005; Joana P. Gonçalves; Chris Larminie; Natasa Przulj (BMC Bioinform., 2014)

ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics. - Omer Nebil Yaveroglu; Sean M. Fitzhugh; Maciej Kurant; Athina Markopoulou; Carter T. Butts; Natasa Przulj (CoRR, 2014)

The Topology of the Growing Human Interactome Data. - Vuk Janjic; Natasa Przulj (J. Integr. Bioinform., 2014)

Topology-function conservation in protein-protein interaction networks. - Darren Davis; Ömer Nebil Yaveroglu; Noël Malod-Dognin; Aleksandar Stojmirovic; Natasa Przulj (Bioinform., 2015)

L-GRAAL: Lagrangian graphlet-based network aligner. - Noël Malod-Dognin; Natasa Przulj (Bioinform., 2015)

Proper evaluation of alignment-free network comparison methods. - Ömer Nebil Yaveroglu; Tijana Milenkovic; Natasa Przulj (Bioinform., 2015)

Patient-Specific Data Fusion for Cancer Stratification and Personalised Treatment. - Vladimir Gligorijevic; Noël Malod-Dognin; Natasa Przulj (PSB, 2016)

Fuse: multiple network alignment via data fusion. - Vladimir Gligorijevic; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2016)

Predictive Functional Connectivity of Real-World Systems. - Anida Sarajlic; Noël Malod-Dognin; Ömer Nebil Yaveroglu; Natasa Przulj (CoRR, 2016)

Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods. - Ömer Nebil Yaveroglu; Noël Malod-Dognin; Tijana Milenkovic; Natasa Przulj (Bioinform., 2017)

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast. - Noël Malod-Dognin; Natasa Przulj (J. Integr. Bioinform., 2017)

Higher-order molecular organization as a source of biological function. - Thomas Gaudelet; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2018)

Functional geometry of protein interactomes. - Noël Malod-Dognin; Natasa Przulj (Bioinform., 2019)

Graphlet Laplacians for topology-function and topology-disease relationships. - Sam F. L. Windels; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2019)

Probabilistic graphlets capture biological function in probabilistic molecular networks. - Sergio Doria-Belenguer; Markus K. Youssef; René Böttcher; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2020)

Chromatin network markers of leukemia. - Noël Malod-Dognin; Vera Pancaldi; Alfonso Valencia; Natasa Przulj (Bioinform., 2020)

Classification in biological networks with hypergraphlet kernels. - Jose Lugo-Martinez; Daniel Zeiberg; Thomas Gaudelet; Noël Malod-Dognin; Natasa Przulj; Predrag Radivojac (Bioinform., 2021)

Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets. - Diego Azael Salazar; Natasa Przulj; Carlos F. Valencia (Bioinform., 2021)

Linear functional organization of the omic embedding space. - Alexandros Xenos; Noël Malod-Dognin; S. Milinkovic; Natasa Przulj (Bioinform., 2021)

Identifying cellular cancer mechanisms through pathway-driven data integration. - Sam F. L. Windels; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2022)

Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem. - Rok Hribar; Timotej Hrga; Gregor Papa; Gasper Petelin; Janez Povh; Natasa Przulj; Vida Vukasinovic (J. Glob. Optim., 2022)

A functional analysis of omic network embedding spaces reveals key altered functions in cancer. - Sergio Doria-Belenguer; Alexandros Xenos; Gaia Ceddia; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2023)

Simplicity within biological complexity. - Natasa Przulj; Noël Malod-Dognin (CoRR, 2024)

Graphlets correct for the topological information missed by random walks. - Sam F. L. Windels; Noël Malod-Dognin; Natasa Przulj (CoRR, 2024)

Simplifying complex machine learning by linearly separable network embedding spaces. - Alexandros Xenos; Noël Malod-Dognin; Natasa Przulj (CoRR, 2024)