Natasa Przulj

发表

Systems-level cancer gene identification from protein interaction network topology applied to melanogenesis-related functional genomics data

T. Milenković, Vesna Memisevic, A. Ganesan, 2010, Journal of The Royal Society Interface.

Proper evaluation of alignment-free network comparison methods

Ömer Nebil Yaveroğlu, T. Milenković, Natasa Przulj, 2015 .

Discovering disease-disease associations by fusing systems-level molecular data

B. Zupan, Natasa Przulj, C. Larminie, 2013, Scientific Reports.

Topological network alignment uncovers biological function and phylogeny

O. Kuchaiev, T. Milenković, Vesna Memisevic, 2008, Journal of The Royal Society Interface.

Dominating Biological Networks

A. Bonato, T. Milenković, Vesna Memisevic, 2011, PloS one.

Biological function through network topology: a survey of the human diseasome

Natasa Przulj, Vuk Janjic, 2012, Briefings in functional genomics.

Global G RAph A Lignment of Biological Networks

Vesna Memisevic, Natasa Przulj, 2022 .

High-Throughput Mapping of a Dynamic Signaling Network in Mammalian Cells

Natasa Przulj, I. Jurisica, Y. Hayashizaki, 2005, Science.

Network analytics in the age of big data

Natasa Przulj, N. Malod-Dognin, 2016, Science.

Biological network comparison using graphlet degree distribution

Natasa Przulj, Natasa Przulj, Natasa Przulj, 2007, Bioinform..

Unveiling new disease, pathway, and gene associations via multi-scale neural network

A. Valencia, Natasa Przulj, V. Pancaldi, 2019, PloS one.

Modeling interactome: scale-free or geometric?

Igor Jurisica, Natasa Przulj, Derek G. Corneil, 2004, Bioinform..

Graph Theory Approaches to Protein Interaction Data Analysis

Natasa Przulj, 2003 .

A global genetic interaction network maps a wiring diagram of cellular function

Adam P. Rosebrock, Mojca Mattiazzi Usaj, Elizabeth N. Koch, 2016, Science.

Simulating trait evolution for cross-cultural comparison

O. Kuchaiev, T. Milenković, Vesna Memisevic, 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

Towards a data-integrated cell

Sam F. L. Windels, Natasa Przulj, N. Malod-Dognin, 2019, Nature Communications.

Survey of Network-Based Approaches to Research of Cardiovascular Diseases

Natasa Przulj, A. Sarajlic, 2014, BioMed research international.

Modelling protein–protein interaction networks via a stickiness index

Natasa Przulj, Desmond J Higham, D. Higham, 2006, Journal of The Royal Society Interface.

Network Topology Reveals Key Cardiovascular Disease Genes

Natasa Przulj, Vuk Janjic, A. Sarajlic, 2013, PloS one.

Bridging the gaps in systems biology

J. Stelling, J. Nielsen, R. Zecchina, 2014, Molecular Genetics and Genomics.

The Core Diseasome.

Natasa Przulj, Vuk Janjic, 2012, Molecular bioSystems.

GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity

Natasa Przulj, Noël Malod-Dognin, Natasa Przulj, 2014, Bioinform..

Functional geometry of protein-protein interaction networks

Natasa Przulj, Natasa Przulj, N. Malod-Dognin, 2018, 1804.04428.

The integrated disease network.

Nataša Pržulj, Kai Sun, Natasa Przulj, 2014, Integrative biology : quantitative biosciences from nano to macro.

Systematic protein–protein interaction mapping for clinically relevant human GPCRs

Natasa Przulj, F. Ciruela, I. Jurisica, 2017 .

Antiproliferative activity and mode of action analysis of novel amino and amido substituted phenantrene and naphtho[2,1-b]thiophene derivatives.

Chhedi Lal Gupta, Natasa Przulj, N. Malod-Dognin, 2019, European journal of medicinal chemistry.

M ay 2 00 9 An integrative approach to modelling biological networks

T. Milenković, Vesna Memisevic, Natasa Przulj, 2009 .

Critical Review on Zeolite Clinoptilolite Safety and Medical Applications in vivo

Nataša Pržulj, Natasa Przulj, K. Pavelić, 2018, Front. Pharmacol..

Critical review on clinoptilolite safety and medical applications in vivo

Natasa Przulj, K. Pavelić, Jasmina Simovi, 2018 .

Higher‐order molecular organization as a source of biological function

Natasa Przulj, Noël Malod-Dognin, Thomas Gaudelet, 2018, Bioinform..

Minimal hereditary dominating pair graphs

Natasa Przulj, 2000 .

Disease Re-classification via Integration of Biological Networks

Natasa Przulj, C. Larminie, K. Sun, 2011 .

The role of genes co-amplified with nicastrin in breast invasive carcinoma

Natasa Przulj, R. Coombes, A. Filipović, 2013, Breast Cancer Research and Treatment.

Network wiring of pleiotropic kinases yields insight into protective role of diabetes on aneurysm.

Natasa Przulj, V. Gligorijević, A. Sarajlic, 2014, Integrative biology : quantitative biosciences from nano to macro.

Complementarity of network and sequence information in homologous proteins

T. Milenković, Vesna Memisevic, Natasa Przulj, 2010, J. Integr. Bioinform..

Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution

Süleyman Cenk Sahinalp, Natasa Przulj, Petra Berenbrink, 2006, Systems Biology and Computational Proteomics.

Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets

Natasa Przulj, Diego Azael Salazar, Carlos F. Valencia, 2021, Bioinform..

Functional geometry of protein interactomes

Natasa Przulj, Noël Malod-Dognin, Natasa Przulj, 2019, Bioinform..

Graphlet-based Characterization of Directed Networks

Nataša Pržulj, Noël Malod-Dognin, Anida Sarajlić, 2016, Scientific Reports.

Predictive Functional Connectivity of Real-World Systems pdf

Natasa Przulj, Noël Malod-Dognin, Omer Nebil Yaveroglu, 2016, ArXiv.

Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets

Tijana Milenkovic, Natasa Przulj, Vesna Memisevic, 2010, BMC Systems Biology.

Geometric De-noising of Protein-Protein Interaction Networks

Desmond J. Higham, Natasa Przulj, Oleksii Kuchaiev, 2009, PLoS Comput. Biol..

Fitting a geometric graph to a protein-protein interaction network

Desmond J. Higham, Natasa Przulj, Marija Rasajski, 2008, Bioinform..

Protein complex prediction via cost-based clustering

Igor Jurisica, Natasa Przulj, Andrew D. King, 2004, Bioinform..

Predicting disease associations via biological network analysis

Natasa Przulj, Kai Sun, Joana P. Gonçalves, 2014, BMC Bioinformatics.

Integrative methods for analyzing big data in precision medicine

Natasa Przulj, N. Malod-Dognin, V. Gligorijević, 2016, Proteomics.

L-GRAAL: Lagrangian graphlet-based network aligner

Natasa Przulj, Noël Malod-Dognin, Natasa Przulj, 2015, Bioinform..

Integrative network alignment reveals large regions of global network similarity in yeast and human

Natasa Przulj, Oleksii Kuchaiev, Natasa Przulj, 2011, Bioinform..

Optimal Network Alignment with Graphlet Degree Vectors

Wayne Hayes, Nataša Pržulj, Tijana Milenković, 2010, Cancer informatics.

Graphlet Laplacians for topology-function and topology-disease relationships

Nataša Pržulj, Noël Malod-Dognin, Sam F L Windels, 2019, Bioinform..

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast

Natasa Przulj, Noël Malod-Dognin, Natasa Przulj, 2017, J. Integr. Bioinform..

Functional topology in a network of protein interactions

Igor Jurisica, Natasa Przulj, Dennis A. Wigle, 2004, Bioinform..

Fuse: multiple network alignment via data fusion

Natasa Przulj, Vladimir Gligorijevic, Noël Malod-Dognin, 2014, Bioinform..

Methods for biological data integration: perspectives and challenges

Nataša Pržulj, Vladimir Gligorijević, Natasa Przulj, 2015, Journal of The Royal Society Interface.

Proper evaluation of alignment-free network comparison methods

Tijana Milenkovic, Natasa Przulj, Omer Nebil Yaveroglu, 2015, Bioinform..

Uncovering Biological Network Function via Graphlet Degree Signatures

Tijana Milenkoviæ, Nataša Pržulj, Natasa Przulj, 2008, Cancer informatics.

GraphCrunch: A tool for large network analyses

Tijana Milenkovic, Natasa Przulj, Jason Lai, 2008, BMC Bioinformatics.

ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics pdf

Athina Markopoulou, Natasa Przulj, Sean Fitzhugh, 2014, ArXiv.

Topology-function conservation in protein–protein interaction networks

Natasa Przulj, Aleksandar Stojmirovic, Noël Malod-Dognin, 2015, Bioinform..

Geometric Evolutionary Dynamics of Protein Interaction Networks

Aleksandar Stevanovic, Natasa Przulj, Oleksii Kuchaiev, 2010, Pacific Symposium on Biocomputing.

Integrative Data Analytic Framework to Enhance Cancer Precision Medicine

Natasa Przulj, Thomas Gaudelet, Noel Malod-Dognin, 2020, Network and systems medicine.

Chromatin network markers of leukemia

N Malod-Dognin, V Pancaldi, A Valencia, 2020, Bioinform..

Precision medicine d A promising, yet challenging road lies ahead

Nataša Pržulj, Noël Malod-Dognin, Julia Petschnigg, 2022 .

Patient-Specific Data Fusion for Cancer Stratification and Personalised Treatment

Natasa Przulj, Vladimir Gligorijevic, Noël Malod-Dognin, 2016, PSB.

Revealing the Hidden Language of Complex Networks

Zoran Levnajic, Nataša Pržulj, Aleksandar Stojmirovic, 2014, Scientific Reports.

Modelling the Yeast Interactome

Roded Sharan, Nataša Pržulj, R. Sharan, 2014, Scientific Reports.

Random graph models and their application to protein-protein interaction networks

Desmond J. Higham, Natasa Przulj, D. Higham, 2011 .

Graph Theory Approaches to Protein Interaction Data Analysis

Natasa Przulj, 2003 .

Optimized Null Model for Protein Structure Networks

Michael Lappe, Nataša Pržulj, Ioannis Filippis, 2009, PloS one.

An integrative approach to modeling biological networks

Nataša Pržulj, Vesna Memišević, Tijana Milenković, 2009, J. Integr. Bioinform..

Protein‐protein interactions: Making sense of networks via graph‐theoretic modeling

Nataša Pržulj, Natasa Przulj, 2011, BioEssays : news and reviews in molecular, cellular and developmental biology.

Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution

Süleyman Cenk Sahinalp, Natasa Przulj, Petra Berenbrink, 2006, Systems Biology and Computational Proteomics.

Characterization of cell cycle specific protein interaction networks of the yeast 26S proteasome complex by the QTAX strategy.

Natasa Przulj, Lan Huang, Tijana Milenković, 2010, Journal of proteome research.

Characterization of the proteasome interaction network using a QTAX-based tag-team strategy and protein interaction network analysis

Tijana Milenkovic, Natasa Przulj, Lan Huang, 2008, Proceedings of the National Academy of Sciences.

The Topology of the Growing Human Interactome Data

Natasa Przulj, Vuk Janjic, Natasa Przulj, 2014, J. Integr. Bioinform..

Topological Characteristics of Molecular Networks

Tijana Milenkovic, Nataša Pržulj, T. Milenković, 2012 .

From Topology to Phenotype in Protein-Protein Interaction Networks

Nataša Pržulj, Natasa Przulj, 2010, Network Science.

Graphlet Laplacians: graphlet-based neighbourhoods highlight topology-function and topology-disease relationships

Natasa Przulj, Noël Malod-Dognin, Sam F. L. Windels, 2018, bioRxiv.

Computational Methods for Integration of Biological Data

Nataša Pržulj, Vladimir Gligorijević, Natasa Przulj, 2016 .

Protein complex prediction with RNSC.

Igor Jurisica, Nataša Pržulj, Andrew D King, 2012, Methods in molecular biology.

Efficient estimation of graphlet frequency distributions in protein-protein interaction networks

Igor Jurisica, Natasa Przulj, Derek G. Corneil, 2006, Bioinform..

C-GRAAL : C ommon-neighbors-based global GRA ph AL ignment of biological networks w z

Nataša Pržulj, Vesna Memišević, Vesna Memisevic, 2012 .

Anti-nicastrin monoclonal antibodies elicit pleiotropic anti-tumour pharmacological effects in invasive breast cancer cells

I. Ellis, Natasa Przulj, A. Ridley, 2014, Breast Cancer Research and Treatment.

GraphCrunch 2: Software tool for network modeling, alignment and clustering

Aleksandar Stevanovic, Natasa Przulj, Oleksii Kuchaiev, 2011, BMC Bioinformatics.

Erratum to: Anti-nicastrin monoclonal antibodies elicit pleiotropic anti-tumour pharmacological effects in invasive breast cancer cells

I. Ellis, Natasa Przulj, A. Ridley, 2014, Breast Cancer Research and Treatment.

Graphlet-based measures are suitable for biological network comparison

Natasa Przulj, Wayne Hayes, Kai Sun, 2013, Bioinform..

Global Network Alignment

Natasa Przulj, Oleksii Kuchaiev, Natasa Przulj, 2010 .

Geometric Local Structure in Biological Networks

N. Przulj, Natasa Przulj, 2007, 2007 IEEE Information Theory Workshop.

Linear functional organization of the omic embedding space

Natasa Przulj, Noël Malod-Dognin, Alexandros Xenos, 2021, Bioinform..

Integration of molecular network data reconstructs Gene Ontology

Natasa Przulj, Vladimir Gligorijevic, Vuk Janjic, 2014, Bioinform..

A framework for FPGA acceleration of large graph problems: Graphlet counting case study

Wayne Luk, David B. Thomas, Natasa Przulj, 2011, 2011 International Conference on Field-Programmable Technology.

Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment‐free network comparison methods

Tijana Milenkovic, Natasa Przulj, Noël Malod-Dognin, 2017, Bioinform..

Computational Methods for Analyzing and Modeling Biological Networks

Tijana Milenkovic, Natasa Przulj, T. Milenković, 2009 .

An integrative approach to modelling biological networks

Tijana Milenkovic, Nataša Pržulj, Vesna Memišević, 2009 .

Hereditary dominating pair graphs

Ekkehard Köhler, Natasa Przulj, Derek G. Corneil, 2004, Discret. Appl. Math..

Unveiling new disease, pathway, and gene associations via multi-scale neural network

A. Valencia, Natasa Przulj, V. Pancaldi, 2019, PloS one.

Probabilistic graphlets capture biological function in probabilistic molecular networks.

Natasa Przulj, N. Malod-Dognin, René Böttcher, 2020, Bioinformatics.

Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem pdf

Gregor Papa, Natasa Przulj, Janez Povh, 2020, Journal of Global Optimization.

Characterization of cell cycle specific protein interaction networks of the yeast 26S proteasome complex by the QTAX strategy.

Robyn M. Kaake, T. Milenković, Natasa Przulj, 2010, Journal of proteome research.

Unveiling new disease, pathway, and gene associations via multi-scale neural network

A. Valencia, Natasa Przulj, V. Pancaldi, 2019, PloS one.

Biological.

Natasa Przulj, 1895, The journals of gerontology. Series A, Biological sciences and medical sciences.

Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution

F. Hormozdiari, P. Berenbrink, S. C. Sahinalp, 2006, PLoS Comput. Biol..

Integrative methods for analyzing big data in precision medicine

Natasa Przulj, N. Malod-Dognin, V. Gligorijević, 2016, Proteomics.

Biological.

Natasa Przulj, 1895, The journals of gerontology. Series A, Biological sciences and medical sciences.

Graph Theory Analysis of Protein–Protein Interactions

Natasa Przulj, Natasa Przulj, 2005 .

Systematic protein–protein interaction mapping for clinically relevant human GPCRs

Natasa Przulj, F. Ciruela, I. Jurisica, 2017, Molecular systems biology.

Predicting disease associations via biological network analysis

Joana P. Gonçalves, Natasa Przulj, C. Larminie, 2014, BMC Bioinformatics.

Fuse: multiple network alignment via data fusion

Natasa Przulj, N. Malod-Dognin, V. Gligorijević, 2014, Bioinform..