Natasa Przulj

Orcid: 0000-0002-1290-853X

Affiliations:
  • Imperial College of Science, Technology and Medicine, London, UK


According to our database1, Natasa Przulj authored at least 51 papers between 1998 and 2024.

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Bibliography

2024
Simplifying complex machine learning by linearly separable network embedding spaces.
CoRR, 2024

Graphlets correct for the topological information missed by random walks.
CoRR, 2024

Simplicity within biological complexity.
CoRR, 2024

2023
A functional analysis of omic network embedding spaces reveals key altered functions in cancer.
Bioinform., May, 2023

2022
Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem.
J. Glob. Optim., 2022

Identifying cellular cancer mechanisms through pathway-driven data integration.
Bioinform., 2022

2021
Linear functional organization of the omic embedding space.
Bioinform., 2021

Multi-project and Multi-profile joint Non-negative Matrix Factorization for cancer omic datasets.
Bioinform., 2021

Classification in biological networks with hypergraphlet kernels.
Bioinform., 2021

2020
Chromatin network markers of leukemia.
Bioinform., 2020

2019
Graphlet Laplacians for topology-function and topology-disease relationships.
Bioinform., 2019

Functional geometry of protein interactomes.
Bioinform., 2019

2018
Higher-order molecular organization as a source of biological function.
Bioinform., 2018

2017
Omics Data Complementarity Underlines Functional Cross-Communication in Yeast.
J. Integr. Bioinform., 2017

Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods.
Bioinform., 2017

2016
Predictive Functional Connectivity of Real-World Systems.
CoRR, 2016

Fuse: multiple network alignment via data fusion.
Bioinform., 2016

Patient-Specific Data Fusion for Cancer Stratification and Personalised Treatment.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015
Proper evaluation of alignment-free network comparison methods.
Bioinform., 2015

L-GRAAL: Lagrangian graphlet-based network aligner.
Bioinform., 2015

Topology-function conservation in protein-protein interaction networks.
Bioinform., 2015

2014
The Topology of the Growing Human Interactome Data.
J. Integr. Bioinform., 2014

ergm.graphlets: A Package for ERG Modeling Based on Graphlet Statistics.
CoRR, 2014

Predicting disease associations via biological network analysis.
BMC Bioinform., 2014

GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity.
Bioinform., 2014

Integration of molecular network data reconstructs Gene Ontology.
Bioinform., 2014

2013
Graphlet-based measures are suitable for biological network comparison.
Bioinform., 2013

2011
Introduction to the Special Issue on Biological Networks.
Internet Math., 2011

GraphCruch 2: Software tool for network modeling, alignment and clustering.
BMC Bioinform., 2011

Integrative network alignment reveals large regions of global network similarity in yeast and human.
Bioinform., 2011

A framework for FPGA acceleration of large graph problems: Graphlet counting case study.
Proceedings of the 2011 International Conference on Field-Programmable Technology, 2011

2010
Complementarity of network and sequence information in homologous proteins.
J. Integr. Bioinform., 2010

An integrative approach to modeling biological networks.
J. Integr. Bioinform., 2010

Protein interaction network topology uncovers melanogenesis regulatory network components within functional genomics datasets.
BMC Syst. Biol., 2010

Geometric Evolutionary Dynamics of Protein Interaction Networks.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

From Topology to Phenotype in Protein-Protein Interaction Networks.
Proceedings of the Network Science - Complexity in Nature and Technology., 2010

2009
Geometric De-noising of Protein-Protein Interaction Networks.
PLoS Comput. Biol., 2009

Learning the Structure of Protein-Protein Interaction Networks.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

2008
GraphCrunch: A tool for large network analyses.
BMC Bioinform., 2008

Fitting a geometric graph to a protein-protein interaction network.
Bioinform., 2008

2007
Not All Scale-Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Evolution.
PLoS Comput. Biol., 2007

Biological network comparison using graphlet degree distribution.
Bioinform., 2007

2006
Efficient estimation of graphlet frequency distributions in protein-protein interaction networks.
Bioinform., 2006

Not All Scale Free Networks Are Born Equal: The Role of the Seed Graph in PPI Network Emulation.
Proceedings of the Systems Biology and Computational Proteomics, 2006

2005
Analyzing large biological networks: protein-protein interactions example.
PhD thesis, 2005

2-Tree probe interval graphs have a large obstruction set.
Discret. Appl. Math., 2005

2004
Hereditary dominating pair graphs.
Discret. Appl. Math., 2004

Functional topology in a network of protein interactions.
Bioinform., 2004

Modeling interactome: scale-free or geometric?.
Bioinform., 2004

Protein complex prediction via cost-based clustering.
Bioinform., 2004

1998
Minimum Average Time Broadcast Graphs.
Parallel Process. Lett., 1998


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