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

Bioinformatics (Oxford, England), 2011-05, Vol.27 (10), p.1390-1396

2011

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L-GRAAL: Lagrangian graphlet-based network aligner

Bioinformatics, 2015-07, Vol.31 (13), p.2182-2189

2015

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Integrative methods for analyzing big data in precision medicine

Proteomics (Weinheim), 2016-03, Vol.16 (5), p.741-758

2016

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Graphlet-based Characterization of Directed Networks

Scientific reports, 2016-10, Vol.6 (1), p.35098-35098, Article 35098

2016

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Graphlet-based measures are suitable for biological network comparison

Bioinformatics, 2013-02, Vol.29 (4), p.483-491

2013

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Topological network alignment uncovers biological function and phylogeny

Journal of the Royal Society interface, 2010-09, Vol.7 (50), p.1341

2010

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

Science (American Association for the Advancement of Science), 2016-09, Vol.353 (6306), p.1381-1381

2016

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Functional geometry of protein interactomes

Bioinformatics, 2019-10, Vol.35 (19), p.3727-3734

2019

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Towards a data-integrated cell

Nature communications, 2019-02, Vol.10 (1), p.805-13, Article 805

2019

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Unified Alignment of Protein-Protein Interaction Networks

Scientific reports, 2017-04, Vol.7 (1), p.953-11, Article 953

2017

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Geometric de-noising of protein-protein interaction networks

PLoS computational biology, 2009-08, Vol.5 (8), p.e1000454-e1000454

2009

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Higher-order molecular organization as a source of biological function

Bioinformatics, 2018-09, Vol.34 (17), p.i944-i953

2018

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

PloS one, 2020-04, Vol.15 (4), p.e0231059

2020

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Biological network comparison using graphlet degree distribution

Bioinformatics, 2010-03, Vol.26 (6), p.853-854

Przulj, Natasa

2010

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A functional analysis of omic network embedding spaces reveals key altered functions in cancer

Bioinformatics (Oxford, England), 2023-05, Vol.39 (5)

2023

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Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates

International journal of molecular sciences, 2023-01, Vol.24 (2), p.1431

2023

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Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease

Scientific reports, 2024-05, Vol.14 (1), p.10983-10983, Article 10983

2024

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Revealing the hidden language of complex networks

Scientific reports, 2014-04, Vol.4 (1), p.4547-4547, Article 4547

2014

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Fuse: multiple network alignment via data fusion

Bioinformatics, 2016-04, Vol.32 (8), p.1195-1203

2016

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Uncovering Biological Network Function via Graphlet Degree Signatures

Cancer informatics, 2008-01, Vol.2008 (1), p.257-273

2008

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C-GRAAL: common-neighbors-based global GRAph ALignment of biological networks

Integrative biology (Cambridge), 2012-07, Vol.4 (7), p.734-743

2012

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Dominating biological networks

PloS one, 2011-08, Vol.6 (8), p.e23016-e23016

2011

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Graphlet eigencentralities capture novel central roles of genes in pathways

PloS one, 2022-01, Vol.17 (1), p.e0261676-e0261676

2022

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

Scientific reports, 2013-11, Vol.3 (1), p.3202-3202, Article 3202

2013

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Integration of molecular network data reconstructs Gene Ontology

Bioinformatics, 2014-09, Vol.30 (17), p.i594-i600

2014

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

L-GRAAL: Lagrangian graphlet-based network aligner

Integrative methods for analyzing big data in precision medicine

Graphlet-based Characterization of Directed Networks

Graphlet-based measures are suitable for biological network comparison

Topological network alignment uncovers biological function and phylogeny

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

Functional geometry of protein interactomes

Towards a data-integrated cell

Unified Alignment of Protein-Protein Interaction Networks

Geometric de-noising of protein-protein interaction networks

Higher-order molecular organization as a source of biological function

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

Biological network comparison using graphlet degree distribution

A functional analysis of omic network embedding spaces reveals key altered functions in cancer

Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates

Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson's disease

Revealing the hidden language of complex networks

Fuse: multiple network alignment via data fusion

Uncovering Biological Network Function via Graphlet Degree Signatures

C-GRAAL: common-neighbors-based global GRAph ALignment of biological networks

Dominating biological networks

Graphlet eigencentralities capture novel central roles of genes in pathways

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

Integration of molecular network data reconstructs Gene Ontology

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