Pr3.

Graphlets correct for the topological information missed by random walks S.F.L. Windels, N. Malod-Dognin and N. Pržulj arXiv:2405.14194, 2024. [doi]

Pr2.

Simplicity within biological complexity N. Pržulj and N. Malod-Dognin arXiv:2405.09595, 2024. [doi]

Pr1.

Graphlet-based hyperbolic embeddings capture evolutionary dynamics in genetic networks D. Tello Velasco, S.F.L. Windels, M. Rotkevich, N. Malod-Dognin and N. Pržulj bioRxiv:2023.10.27.564419, 2023. [doi]

J40.

The axes of biology: a novel axes-based network embedding paradigm to decipher the functional mechanisms of the cell S. Doria-Belenguer, A. Xenos, G. Ceddia, N. Malod-Dognin and N. Pržulj Bioinformatics Advances 4(1): vbae075, 2024. [doi]

J39.

Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson’s disease K. Mihajlović, G. Ceddia, N. Malod-Dognin, G. Novak, D. Kyriakis, A. Skupin and N. Pržulj Scientific Reports 14: 10983, 2024. [doi]

J38.

Drugst.One - A plug-and-play solution for online systems medicine and network-based drug repurposing A. Maier, M. Hartung, K. Adamowicz, G.D. Bader, D.B. Blumenthal, J. Chen, M.L. Elkjaer, C.J.G. Hernandez, I. Jurisica, M. Kotlyar, O. Lazareva, H. Levi, M. List, S. Lobentanzer, J. Loscalzo, N. Malod-Dognin, Q. Manz, J. Matschinske, M. Oubounyt, A.R. Pico, R.T. Pilllich, D. Pratt, N. Pržulj, S. Sadegh, J. Saez-Rodriguez, S. Sakar, R. Shamir, U. Turhan, R. Wang, O. Zolotareva and J. Baumbach Nucleic Acids Research: gkae388, 2024. [doi]

J37.

A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma V. Gureghian, H. Herbst, I. Kozar, K. Mihajlovic, N. Malod-Dognin, G. Ceddia, C. Angeli, C. Margue, T. Randic, D. Philippidou, M. Tetsi Nomigni, A. Hemedan, L.-C. Tranchevent, J. Longworth, M. Bauer, A. Badkas, A. Gaigneaux, A. Muller, M. Ostaszewski, F. Tolle, N. Pržulj and S. Kreis Cancer Gene Therapy 30: 1330–1345, 2023. [doi]

J36.

A phenotype driven integrative framework uncovers molecular mechanisms of a rare hereditary thrombophilia N. Malod-Dognin, G. Ceddia, M. Gvozdenov, B. Tomic, S. Dunjic Manevski, V. Djordjevic and N. Pržulj PLoS ONE 18(4): e0284084, 2023. [doi]

J35.

A functional analysis of omic network embedding spaces reveals key altered functions in cancer S. Doria-Belenguer, A. Xenos, G. Ceddia, N. Malod-Dognin and N. Pržulj Bioinformatics 39(5): btad281, 2023. [doi]

J34.

Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates A. Xenos, N. Malod-Dognin, C. Zambrana and N. Pržulj International Journal of Molecular Sciences 24(2): 1431, 2023. [doi]

J33.

Identifying cellular cancer mechanisms through pathway-driven data integration S.F.L. Windels, N. Malod-Dognin and N. Pržulj Bioinformatics 38(18): 4344–4351, 2022. [doi] [pdf]

J32.

Big Data to Knowledge Analytics reveals the Zika virus epidemic as only one of multiple factors contributing to year-over-year 28-fold increase in microcephaly incidence M.P. Cifuentes, C. Mercedes Suarez, R. Cifuentes, N. Malod-Dognin, S.F.L. Windels, J. Valderrama, P.D. Juarez, C. Colen, R. Burciaga Valdez, C. Phillips, A. Ramesh, W. Im, M.Y. Lichtveld, C. Mouton, N. Pržulj and D.B. Hood International Journal of Environmental Research and Public Health 19(15):9051, 2022. [doi]

J31.

Graphlet eigencentralities capture novel central roles of genes in pathways S.F.L. Windels, N. Malod-Dognin and N. Pržulj PLoS ONE 17(1): e0261676, 2022. [doi]

J30.

Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates C. Zambrana, A. Xenos, R. Böttcher, N. Malod-Dognin and N. Pržulj Scientific Reports 11, 18985, 2021.

J29.

Linear functional organization of the omic embedding space A. Xenos, N. Malod-Dognin, S. Milinkovic and N. Pržulj Bioinformatics 37(21): 3839–3847, 2021. [doi] [pdf]

J28.

Integrative Data Analytic Framework to Enhance Cancer Precision Medicine T. Gaudelet, N. Malod-Dognin and N. Pržulj Network and Systems Medicine 4(1): 60-73, 2021. [doi] [pdf]

J27.

Probabilistic Graphlets Capture Biological Function in Probabilistic Molecular Networks S. Doria-Belenguer, M.K. Youssef, R. Böttcher, N. Malod-Dognin and N. Pržulj Bioinformatics 36: Issue Supplement 2, i804–i812, 2020. Also Conference paper C13. [doi]

J26.

Classification in biological networks with hypergraphlet kernels J. Lugo-Martinez, D. Zeiberg, T. Gaudelet, N. Malod-Dognin, N. Pržulj and P. Radivojac Bioinformatics 37(7): 1000–1007, 2020. [doi]

J25.

Chromatin network markers of leukemia N. Malod-Dognin, V. Pancaldi, A. Valencia and N. Pržulj Bioinformatics 36: Issue Supplement_1, i455–i463, 2020. Also Conference paper C12. [doi]

J24.

Unveiling new disease, pathway, and gene associations via multi-scale neural networks T. Gaudelet, N. Malod-Dognin, J. Sanchez-Valle, V. Pancaldi, A. Valencia and N. Pržulj PLoS ONE 15(4): e0231059, 2020.[doi]

J23.

A national initiative in data science for health: an evaluation of the UK Farr Institute H. Hemingway et al. International journal of population data science 5(1), 2020. [doi]

J22.

Antiproliferative activity and mode of action analysis of novel amino and amido substituted phenantrene and naphtho[2,1-b]thiophene derivatives N. Perin, V. Rep, I. Sović, Š. Juričić, D. Selgrad, M. Klobučar; N. Pržulj, C.L. Gupta, N. Malod-Dognin, S.K. Pavelić and M. Hranjec European Journal of Medicinal Chemistry 185: 111833, 2020. [doi]

J21.

Graphlet Laplacians for topology-function and topology-disease relationships S.F.L. Windels, N. Malod-Dognin and N. Pržulj Bioinformatics 35(24): 5226–5234, 2019. [doi]

J20.

Towards a data-integrated cell N. Malod-Dognin, J. Petschnigg, S.F.L. Windels, J. Povh, H. Hemingway, R. Ketteler and N. Pržulj Nature Communications 10: 805, 2019. [doi]

J19.

Functional geometry of protein-protein interaction networks N. Malod-Dognin and N. Pržulj Bioinformatics 35(19): 3727-3734, 2019. [doi]

J18.

Higher order molecular organisation as a source of biological function T. Gaudelet, N. Malod-Dognin and N. Pržulj Bioinformatics 34(17): i944-i953, 2018. Also conference C11. [doi]

J17.

Precision medicine ― a promising, yet challenging road lies ahead N. Malod-Dognin, J. Petschnigg and N. Pržulj Current Opinion in Systems Biology 7:1-7, 2018. [pdf] [doi]

J16.

Omics data complementarity underlines functional cross-communication in yeast N. Malod-Dognin and N. Pržulj Journal of Integrative Bioinformatics 14(2), 2017. Also Conference paper C10. [pdf] [doi]

J15.

Unified Alignment of Protein-Protein Interaction Networks N. Malod-Dognin, K. Ban and N. Pržulj Scientific Reports 7:953, 2017. [pdf] [doi]

J14.

Rebuttal to the Letter to the Editor in response to the paper: Proper evaluation of alignment-free network comparison methods O.N. Yaveroğlu, N. Malod-Dognin, T. Milenković and N. Pržulj Bioinformatics 33(7):1107-1109, 2017. [pdf] [doi]

J13.

Graphlet-based Characterization of Directed Networks A. Sarajlić, N. Malod-Dognin, O.N. Yaveroğlu and N. Pržulj Scientific Reports 6:35098, 2016. [pdf] [doi]

J12.

A global genetic interaction network maps a wiring diagram of cellular function M. Costanzo, B. VanderSluis, E. N. Koch, A. Baryshnikova, C. Pons, G. Tan, W. Wang, M. Usaj, J. Hanchard, S. D. Lee, V. Pelechano, E. B. Styles, M. Billmann, J. van Leeuwen, N. van Dyk, Z.-Y. Lin, E. Kuzmin, J. Nelson, J. S. Piotrowski, T. Srikumar, S. Bahr, Y. Chen, R. Deshpande, C. F. Kurat, S. C. Li, Z. Li, M. M. Usaj, H. Okada, N. Pascoe, B.-J. San Luis, S. Sharifpoor, E. Shuteriqi, S. W. Simpkins, J. Snider, H. G. Suresh, Y. Tan, H. Zhu, N. Malod-Dognin, V. Janjic, N. Pržulj, O. G. Troyanskaya, I. Stagljar, T. Xia, Y. Ohya, A.-C. Gingras, B. Raught, M. Boutros, L. M. Steinmetz, C. L. Moore, A. P. Rosebrock, A. A. Caudy, C. L. Myers, B. Andrews and C. Boone Science 353(6306):aaf1420, 2016. [pdf] [doi]

J11.

Network Analytics in the age of Big Data N. Pržulj and N. Malod-Dognin Science 353(6295):aah3449, 2016. [pdf] [doi]

J10.

Integrative Methods for Analysing Big Data in Precision Medicine V. Gligorijević, N. Malod-Dognin and N. Pržulj Proteomics 16(15):741-758, 2016. [pdf] [doi]

J9.

FUSE: Multiple Network Alignment via Data Fusion V. Gligorijević, N. Malod-Dognin and N. Pržulj Bioinformatics 32(8):1195-1203, 2016. [pdf] [doi]

J8.

L-GRAAL: Lagrangian Graphlet-based Network Aligner N. Malod-Dognin and N. Pržulj Bioinformatics 31(13):2182-2189, 2015. [pdf] [doi]

J7.

Topology-Function Conservation in Protein-Protein Interaction Networks D. Davis, O.N. Yaveroğlu, N. Malod-Dognin, A. Stojmirovic and N. Pržulj Bioinformatics 31(10):1632-1639, 2015. [pdf] [doi]

J6.

Revealing the Hidden Language of Complex Networks O.N. Yaveroğlu, N. Malod-Dognin, D. Davis, Z. Levnajic, V. Janjic, R. Karapandza, A. Stojmirovic and N. Pržulj Scientific Reports 4:4547, 2014. [pdf] [doi]

J5.

GR-Align: Fast and Flexible Alignment of Protein 3D Structures Using Graphlet Degree Similarity N. Malod-Dognin and N. Pržulj Bioinformatics 30(9):1259-1265, 2014. [pdf] [doi]

J4.

Characterizing the Morphology of Protein Binding Patches N. Malod-Dognin, A. Bansal and F. Cazals Proteins: structure, function, and bioinformatics 80(12):2652-2665, 2012. [pdf] [doi]

J3.

CSA: Comprehensive comparison of pairwise structural protein alignments I. Wohlers, N. Malod-Dognin, R. Andonov and G.W. Klau Nucleic Acids Research 40(W1):W303-W309, 2012. [pdf] [doi]

J2.

Maximum Contact Map Overlap Revisited R. Andonov, N. Malod-Dognin and N. Yanev Journal of Computational Biology 18(1):27-41, 2011. [pdf] [doi]

J1.

Solving Maximum Clique Problem for Protein Structure Similarity N. Malod-Dognin, R. Andonov and N. Yanev Serdica Journal of Computing 4(1):93-100, 2010. [pdf]

C13.

Probabilistic Graphlets Capture Biological Function in Probabilistic Molecular Networks S. Doria-Belenguer, M.K. Youssef, R. Böttcher, N. Malod-Dognin and N. Pržulj European Conference on Computational Biology (ECCB), 2020.

C12.

Chromatin network markers of leukemia N. Malod-Dognin, V. Pancaldi, A. Valencia and N. Pržulj Intelligent Systems for Molecular Biology (ISMB), 2020. Also journal publication J24.

C11.

Higher order molecular organisation as a source of biological function T. Gaudelet, N. Malod-Dognin and N. Pržulj European Conference on Computational Biology (ECCB), 2018. Also journal publication J18.

C10.

IB'17

Omics data complementarity underlines functional cross-communication in yeast N. Malod-Dognin and N. Pržulj Proceedings of the International Symposium on Integrative Bioinformatics, 2017. Also journal publication J16.

C9.

Patient-Specific Data Fusion for Cancer Stratification and Personalized Treatment V. Gligorijević, N. Malod-Dognin and N. Pržulj Proceedings of the 21st Pacific Symposium on Biocomputing, p. 321-332, 2016. [pdf]

C8.

CSA : Comparaison compréhensible d'alignement de paires de structures de protéines I. Wohlers, N. Malod-Dognin, R. Andonov, G.W. Klau Proceedings of JOBIM, p.201-208, 2012 (in french).

C7.

PRIB'11

Shape Matching by Localized Calculations of Quasi-isometric Subsets, with Applications to the Comparison of Protein Binding Patches F. Cazals and N. Malod-Dognin Pattern Recognition in Bioinformatics, Lecture Notes in Computer Science, vol. 7036, p. 272-283, 2011. [pdf] [doi] [bib]

C6.

WABI'11

Using Dominances for Solving the Protein Family Identification Problem N. Malod-Dognin, M. Le Boudic-Jamin, P. Kamath, and R. Andonov Algorithms in Bioinformatics, Lecture Notes in Computer Science, vol. 6833, p. 201-212, 2011. [pdf] [doi] [bib]

C5.

Identification rapide de familles protéiques par dominance M. Le Boudic-Jamin, N. Malod-Dognin, A. Cornu, J. Nicolas and R. Andonov Proceedings of the 12th Annual Congress of the French National Society of Operations Research and Decision Science (ROADEF), vol. 2, p.791-792, 2011 (in french).

C4.

SHREC-10 Track: Protein Model Classification L. Mavridis, V. Venkatraman, D. W. Ritchie, N. Morikawa, R. Andonov, A. Cornu, N. Malod-Dognin, J. Nicolas, M. Temerinac-Ott, M. Reisert, H. Burkhardt, A. Axenopoulos and P. Daras Eurographics Workshop on 3D Object Retrieval (3DOR), p. 117-124, 2010. [pdf] [bib]

C3.

SEA'10

Maximum Clique in Protein Structure Comparison N. Malod-Dognin, R. Andonov and N. Yanev Experimental Algorithms, Lecture Notes in Computer Science, vol. 6049, p.106-117, 2010. [pdf] [doi] [bib]

C2.

WABI'08

An Efficient Lagrangian Relaxation for the Contact Map Overlap Problem R. Andonov, N. Yanev and N. Malod-Dognin Algorithms in Bioinformatics, Lecture Notes in Computer Science, vol. 5251, p. 162-173, 2008. [pdf] [doi] [bib]

C1.

Modèle de PLNE pour la recherche de cliques de poids maximal N. Malod-Dognin, R. Andonov, N. Yanev and J-F. Gibrat Proceedings of the 9th Annual Congress of the French National Society of Operations Research and Decision Science (ROADEF), p. 307-308, 25/02/2008 (In french).

B02.

Machine Learning for Data Integration in Cancer Precision Medicine: Matrix Factorization Approaches N. Malod-Dognin, S. Windels and N. Pržulj Analyzing Network Data in Biology and Medicine, edited by N. Pržulj, Cambridge University Press, forthcoming, 2018

B01.

Network Alignment N. Malod-Dognin and N. Pržulj Analyzing Network Data in Biology and Medicine, edited by N. Pržulj, Cambridge University Press, forthcoming, 2018

Ph.D.

Protein Structure Comparison: From Contact Map Overlap Maximisation to Distance-based Alignment Search Tool Ph.D. Thesis, University of Rennes 1, January 2010. [Full manuscript available on HAL/TEL]

18.

The axes of biology: a novel axes-based network embedding approach to decipher the fundamental mechanisms of the cell S. Doria-Belenguer, A. Xenos, G. Ceddia, N. Malod-Dognin and N. Pržulj ISMB-ECCB, Lyon, France, July 23-27, 2023.

17.

Exploiting the linear organization of omics network embedding spaces N. Malod-Dognin, A. Xenos, S. Doria Belenguer and N. Pržulj The Belgrade Bioinformatics Conference (BelBi2023), Belgrade, Serbia, June 19-23, 2023.

16.

Towards a data-integrated cell N. Malod-Dognin, J. Petschnigg, S.F.L. Windels, J. Povh, H. Hemingway, R. Ketteler, and N. Pržulj UCAncer Symposium, Sophia Antipolis, France, October 25-26, 2021.

15.

Towards a data-integrated cell N. Malod-Dognin, J. Petschnigg, S.F.L. Windels, J. Povh, H. Hemingway, R. Ketteler, and N. Pržulj ISMB-ECCB, Basel, Switzerland, July 21-25, 2019.

14.

Higher order molecular organisation as a source of biological function T. Gaudelet, N. Malod-Dognin, and N. Pržulj ECCB, Athens, Greece, September 8-12, 2018.

13.

Towards higher-order modelling and integration of biological data for precision medicine N. Malod-Dognin 2nd Workshop on Biomedical data fusion and non-negative matrix factorization, Ljubljana, Slovenia, May 23-25, 2018.

12.

ECTB 2016

Towards higher-order modelling and integration of biological data for precision medicine N. Malod-Dognin, T. Gaudelet, S. Windels and N. Pržulj European Conference on Translational Bioinformatics, Barcelona, Spain, April 16-17, 2018.

11.

Data-Fusion for Cancer Patient Stratification and Personalised Treatment V. Gligorijević, N. Malod-Dognin and N. Pržulj International Conference on Complex Networks and Their Applications, Lyon, France, November 29 - December 01, 2017.

10.

Hypergraphlets Give Insight into Multi-Scale Organisation of Molecular Networks T. Gaudelet, N. Malod-Dognin, J. Lugo-Martinez, P. Radivojac and N. Pržulj International Conference on Complex Networks and Their Applications, Lyon, France, November 29 - December 01, 2017.

9.

Patient Specific Network Data Integration Enables Precision Medicine in Cancer V. Gligorijevic, N. Malod-Dognin and N. Przulj Belgrade Bioinformatics Conference, Belgrade, Serbia, 20-24 June 2016.

8.

Network data integration enables precision medicine in cancer N. Malod-Dognin ECCB, Workshop 7, The Hague, Netherlands, September 3, 2016.

7.

GenMed 2016

Network Data Integration Enables Precision Medicine V. Gligorijevic, N. Malod-Dognin and N. Przulj Summer School: Genomic Medicine, Portoroz, Slovenia, 3-7 May 2016.

6.

Topology-Function Conservation in Protein-Protein Interaction Networks D. Davis, O.N. Yaveroglu, N. Malod-Dognin, A. Stojmirovic and N. Przulj International School and Conference on Network Science, Zaragoza, Spain, 1-5 June 2015.

5.

Revealing the Hidden Language of Complex Networks O. N. Yaveroglu, N. Malod-Dognin, D. Davis, Z. Levnajic, V. Janjic, R. Karapandza, A. Stojmirovic, and N. Przulj International School and Conference on Network Science, Berkeley, California, USA, June 2-6, 2014.

4.

3Dsig'13

GrAlign: Fast Flexible Alignment of Protein 3D Structures N. Malod-Dognin and N. Przulj ISMB - 3DSig, Berlin, Germany, July 19-20, 2013.

3.

SFBBM-SFB'12

Stoichiometry Determination for Mass-spectrometry Data in Structural Proteomics N. Malod-Dognin and F. Cazals SFBBM-SFB congress, Grenoble, France, November 21-23, 2012.

2.

MICOM'09

Maximum clique approach to protein structure similarity N. Malod-Dognin, R. Andonov and N. Yanev MASSEE (mathematical society of south-east europe) International Congress On Mathematics, Ohrid, Macedonia, September 16-20, 2009.

1.

MMSC'09

Maximum clique approach to protein structure similarity N. Malod-Dognin, R. Andonov and N. Yanev International Workshop on Mathematical Modelling and Scientific Computations, Velingrad, Bulgaria, September 23-26, 2009.

34.

A multi-omics integrative approach unravels novel genes and pathways associated with senescence escape after targeted therapy in NRAS mutant melanoma V. Gureghian, H. Herbst, I. Kozar, K. Mihajlovic, N. Malod-Dognin, G. Ceddia, C. Angeli, C. Margue, T. Randic, D. Philippidou, M. Tetsi Nomigni, A. Hemedan, L.-C. Tranchevent, J. Longworth, M. Bauer, A. Badkas, A. Gaigneaux, A. Muller, M. Ostaszewski, F. Tolle, N. Pržulj and S. Kreis ISMB-ECCB, Lyon, France, July 23-27, 2023.

33.

The sweet spot of "pan-viral" disease mechanisms for therapeutic intervention C. Zambrana, S. Windels, N. Malod-Dognin and N. Pržulj ISMB-ECCB, Lyon, France, July 23-27, 2023.

32.

GraphFusion: An Intuitive Web-Based Graph Analytics, Fusion, and Visualization Tool C. Garcia-Hernandez, N. Malod-Dognin and N. Pržulj ISMB-ECCB, Lyon, France, July 23-27, 2023.

31.

Graphlet-based embeddings leads to more functionally organized gene embedding spaces A. Xenos, N. Malod-Dognin and N. Pržulj ISMB-ECCB, Lyon, France, July 23-27, 2023.

30.

A functional analysis of omic network embedding spaces reveals key altered functions in cancer S. Doria-Belenguer, A. Xenos, G. Ceddia, N. Malod-Dognin and N. Pržulj ECCB, Sitges, Barcelona, 12-21 September, 2022.

29.

Between viral targets and differentially expressed genes in viral infections: the sweet spot of disease mechanisms for therapeutic intervention C. Zambrana, S. Windels, N. Malod-Dognin and N. Pržulj ECCB, Sitges, Barcelona, 12-21 September, 2022.

28.

Integrating and mining time-dependent single-cell RNA-seq data: Parkinson’s disease application K. Mihajlovic, G. Ceddia, N. Malod-Dognin, G. Novak, A. Skupin, D. Kyriakis and N. Pržulj ECCB, Sitges, Barcelona, 12-21 September, 2022.

27.

Revealing the hidden language of DNA M. Rotkevich, S.F.L. Windels, C. Garcia-Hernandez, N. Malod-Dognin, G. Ceddia, and N. Pržulj ISMB-ECCB, Virtual Event, July 25-30, 2021.

26.

Revealing molecular mechanisms of a rare hereditary thrombophilia using a phenotype integrative approach N. Malod-Dognin, G. Ceddia, and N. Pržulj ISMB-ECCB, Virtual Event, July 25-30, 2021.

25.

Linear functional organization of the omic embedding space A. Xenos, N. Malod-Dognin, S. Milinkovic, and N. Pržulj ISMB-ECCB, Virtual Event, July 25-30, 2021.

24.

Identifying cellular cancer mechanisms through pathway-driven data integration S.F.L. Windels, N. Malod-Dognin, and N. Pržulj ISMB-ECCB, Virtual Event, July 25-30, 2021.

23.

Graphlet-based Coalescent embedding uncovers complementary biological information in yeast molecular networks D. Tello, S.F.L. Windels, R. Bottcher, N. Malod-Dognin, and N. Pržulj ISMB-ECCB, Virtual Event, July 25-30, 2021.

22.

Graphlet Coefficient Vector: a comprehensive topological descriptor for biological networks G. Ceddia, M.K. Youssef, S. Doria-Belenguer, N. Malod-Dognin, and N. Pržulj ISMB-ECCB, Virtual Event, July 25-30, 2021.

21.

Integrated data analysis uncovers new Covid-19 related genes and potential drug re-purposing candidates C. Zambrana, A. Xenos, N. Malod-Dognin, and N. Pržulj ISMB, Virtual Event, July 13-16, 2020.

20.

Towards a data-integrated cell N. Malod-Dognin, J. Petschnigg, S.F.L. Windels, J. Povh, H. Hemingway, R. Ketteler, and N. Pržulj ISMB-ECCB, Basel, Switzerland, July 21-25, 2019.

19.

Unveiling new disease, pathway, and gene associations via multi-scale neural networks T. Gaudelet, N. Malod-Dognin, J. Sanchez-Valle, V. Pancaldi, A. Valencia, and N. Pržulj ISMB-ECCB, Basel, Switzerland, July 21-25, 2019.

18.

Functional geometry of protein-protein interaction networks N. Malod-Dognin and N. Pržulj ECCB, Athens, Greece, September 8-12, 2018.

17.

Graphlet Laplacians: linking local wiring patterns in network neighbourhoods to biological function S.F.L. Windels, N. Malod-Dognin and N. Pržulj ECCB, Athens, Greece, September 8-12, 2018.

16.

Higher-order modelling and integration of biological data for precision medicine N. Malod-Dognin, T. Gaudelet, S.F.L Windels and N. Pržulj International School and Conference on Network Science, Satellite Symposium on Network Medicine, Paris, France, June 11-15, 2018.

15.

Network analysis of Brazil's 2016 Zika-related incidence of microcephaly reveals misestimation of the outbreak and multiple contributing factors M.P. Cifuentes, C.M. Suarez, S.F.L. Windels, R. Cifuentes, N. Doogan, J.F. Valderrama, N. Malod-Dognin, D. Hood and N. Pržulj International Conference on Complex Networks and Their Applications, Lyon, France, November 29 - December 01, 2017.

14.

Ulign: Unified Alignment of Protein-Protein Interaction Networks N. Malod-Dognin, K. Ban and N. Pržulj ISMB-ECCB, Prague, Czech Republic, July 21-25, 2017.

13.

Hypergraphlets Give Insight into Multi-Scale Organisation of Molecular Networks T. Gaudelet, N. Malod-Dognin, J. Lugo-Martinez, P. Radivojac and N. Pržulj ISMB-ECCB, Prague, Czech Republic, July 21-25, 2017.

12.

A network analysis of the incidence pattern of microcephaly in the context of Zika Virus Infection M.P. Cifuentes, C.M. Suarez, S.F.L. Windels, R. Cifuentes, N. Doogan, J.F. Valderrama, N. Malod-Dognin, D. Hood and N. Pržulj ISMB-ECCB, Prague, Czech Republic, July 21-25, 2017.

11.

Patient-Specific Data Fusion for Cancer Stratification and Personalized Treatment V. Gligorijević, N. Malod-Dognin and N. Pržulj Pacific Symposium on Biocomputing, Big Island, Hawaii, January 4-8, 2016.

10.

FUSE: Multiple Network Alignment via Data Fusion V. Gligorijević, N. Malod-Dognin and N.Pržulj ISMB-ECCB, Dublin, Ireland, July 10-14, 2015.

9.

L-GRAAL: Lagrangian Graphlet-based Network Aligner N. Malod-Dognin and N. Pržulj ECCB, Strasbourg, France, September 7-10, 2014.

8.

Topology-Function Conversion in Protein-Protein Interaction Networks D. Davis, O.N. Yaveroğlu, N. Malod-Dognin, A. Stojmirovic and N. Pržulj ECCB, Strasbourg, France, September 7-10, 2014.

6-7.

ISMB-ECCB'13 3Dsig'13

GrAlign: Fast Flexible Alignment of Protein 3D Structures N. Malod-Dognin and N. Pržulj ISMB-ECCB, Berlin, Germany, July 21-23, 2013. 3Dsig, Berlin, Germany, July 19-20, 2013.

5.

GTBio'12

On the Stoichiometry Determination Problem for Mass Spectrometry Data D. Agarwal, N. Malod-Dognin and F. Cazals GTBio; Montpellier, France, April 3-6, 2012.

2-4.

GTBio'12 GGMM'11 PRIB'11

On the Morphology of Protein Binding Patches N. Malod-Dognin and F.Cazals GTBio; Montpellier, France, April 3-6, 2012. The 17th GGMM congress; La Rochelle, France, May 30 to June 1, 2011. PRIB; Delft, The Netherlands, November 2-4, 2011. Best poster award

1.

ESF-EMBO'10

Protein Structure Comparison: A Generic Framework N. Malod-Dognin, R. Andonov and N. Yanev ESF-EMBO Symposium on Molecular Perspectives on Protein-Protein Interactions; Sant Feliu de Guixols, Spain, November 14-19, 2010.