Photo_2024
Dr. Noël Malod-Dognin

Established Researcher
Life Sciences

BSC
Research       Publications       Contact

Citation statistics from Scholar Google (May 2024); Citations: 2981, h-index: 21, i10-index: 26.




Pr3. arXiv
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. arXiv
Simplicity within biological complexity
N. Pržulj and N. Malod-Dognin
arXiv:2405.09595, 2024. [doi]

Pr1. bioRxiv
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. Bioinformatics Advances
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. ScientificReports 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. nucleic-acid-research 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. CGT 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. PLoS ONE 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. Bioinformatics 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. IJMS 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. Bioinformatics 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. IJERPH 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. PLoS ONE 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. ScientificReports 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. Bioinformatics 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. NetSciMed 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. Bioinformatics 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. Bioinformatics 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. Bioinformatics 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. PLoS ONE 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. IJPDS 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. E.J.M.C. 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. Bioinformatics 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. Nat.Com. 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. Bioinformatics Functional geometry of protein-protein interaction networks
N. Malod-Dognin and N. Pržulj
Bioinformatics 35(19): 3727-3734, 2019. [doi]

J18. Bioinformatics 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. COiSB 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. JIB 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. ScientificReports Unified Alignment of Protein-Protein Interaction Networks
N. Malod-Dognin, K. Ban and N. Pržulj
Scientific Reports 7:953, 2017. [pdf] [doi]

J14. Bioinformatics 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. ScientificReports 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. Science 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. Science Network Analytics in the age of Big Data
N. Pržulj and N. Malod-Dognin
Science 353(6295):aah3449, 2016. [pdf] [doi]

J10. Proteomics 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. Bioinformatics FUSE: Multiple Network Alignment via Data Fusion
V. Gligorijević, N. Malod-Dognin and N. Pržulj
Bioinformatics 32(8):1195-1203, 2016. [pdf] [doi]

J8. Bioinformatics L-GRAAL: Lagrangian Graphlet-based Network Aligner
N. Malod-Dognin and N. Pržulj
Bioinformatics 31(13):2182-2189, 2015. [pdf] [doi]

J7. Bioinformatics 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. ScientificReports 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. Bioinformatics 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. ProteinsSFB 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. nucleic-acid-research 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. JCB 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. Serdica 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.
ECCB'20
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.
ISMB'20
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.
ECCB'18
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.
PSB'16
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.
JOBIM'12
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.
ROADEF 2008
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.
3DOR
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.
ROADEF 2008
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. CUP 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. CUP 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. R1 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.
ISMB-ECCB 2023
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.
BelBi 2023
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.
UCAncer 2021
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.
Complex Networks'17
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.
Complex Networks'17
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.
Complex Networks'17
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.
Complex Networks'17
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.
BelBi 2016
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.
ECCB-W7 2016
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.
NetSci'15
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.
NetSci'14
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.
ISMB-ECCB 2023
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.
ISMB-ECCB 2023
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.
ISMB-ECCB 2023
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.
ISMB-ECCB 2023
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.
ECCB'22
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.
ECCB'22
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.
ECCB'22
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.
ISMB-ECCB'21
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.
ISMB-ECCB'21
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.
ISMB-ECCB'21
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.
ISMB-ECCB'21
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.
ISMB-ECCB'21
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.
ISMB-ECCB'21
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.
ISMB'20
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.
Complex Networks'17
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.
Complex Networks'17
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.
Complex Networks'17
Functional geometry of protein-protein interaction networks
N. Malod-Dognin and N. Pržulj
ECCB, Athens, Greece, September 8-12, 2018.

17.
Complex Networks'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.
NetSci'18
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.
Complex Networks'17
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.
ISMB-ECCB'17
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.
ISMB-ECCB'17
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.
ISMB-ECCB'17
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.
PSB'16
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.
ISMB-ECCB'15
FUSE: Multiple Network Alignment via Data Fusion
V. Gligorijević, N. Malod-Dognin and N.Pržulj
ISMB-ECCB, Dublin, Ireland, July 10-14, 2015.

9.
ECCB'14
L-GRAAL: Lagrangian Graphlet-based Network Aligner
N. Malod-Dognin and N. Pržulj
ECCB, Strasbourg, France, September 7-10, 2014.

8.
ECCB'14
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.