An Efficient Lagrangian Relaxation for the Contact Map Overlap Problem. - Rumen Andonov; Nicola Yanev; Noël Malod-Dognin (WABI, 2008)

SHREC'10 Track: Protein Model Classification. - Lazaros Mavridis; Vishwesh Venkatraman; David W. Ritchie; Naoto Morikawa; Rumen Andonov; Alexandre Cornu; Noël Malod-Dognin; Jacques Nicolas; Maja Temerinac-Ott; Marco Reisert; Hans Burkhardt; Apostolos Axenopoulos; et al. (3DOR@Eurographics, 2010)

Maximum Cliques in Protein Structure Comparison. - Noël Malod-Dognin; Rumen Andonov; Nicola Yanev (SEA, 2010)

Protein Structure Comparison: From Contact Map Overlap Maximisation to Distance-based Alignment Search Tool. (La comparaison structurale des protéines : de la maximisation du recouvrement de cartes de contacts à l'alignement basé sur les distances). - Noël Malod-Dognin (2010)

Shape Matching by Localized Calculations of Quasi-Isometric Subsets, with Applications to the Comparison of Protein Binding Patches. - Frédéric Cazals; Noël Malod-Dognin (PRIB, 2011)

Using Dominances for Solving the Protein Family Identification Problem. - Noël Malod-Dognin; Mathilde Le Boudic-Jamin; Pritish Kamath; Rumen Andonov (WABI, 2011)

Maximum Contact Map Overlap Revisited. - Rumen Andonov; Noël Malod-Dognin; Nicola Yanev (J. Comput. Biol., 2011)

CSA: comprehensive comparison of pairwise protein structure alignments. - Inken Wohlers; Noël Malod-Dognin; Rumen Andonov; Gunnar W. Klau (Nucleic Acids Res., 2012)

GR-Align: fast and flexible alignment of protein 3D structures using graphlet degree similarity. - Noël Malod-Dognin; Natasa Przulj (Bioinform., 2014)

Topology-function conservation in protein-protein interaction networks. - Darren Davis; Ömer Nebil Yaveroglu; Noël Malod-Dognin; Aleksandar Stojmirovic; Natasa Przulj (Bioinform., 2015)

L-GRAAL: Lagrangian graphlet-based network aligner. - Noël Malod-Dognin; Natasa Przulj (Bioinform., 2015)

Patient-Specific Data Fusion for Cancer Stratification and Personalised Treatment. - Vladimir Gligorijevic; Noël Malod-Dognin; Natasa Przulj (PSB, 2016)

Fuse: multiple network alignment via data fusion. - Vladimir Gligorijevic; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2016)

Predictive Functional Connectivity of Real-World Systems. - Anida Sarajlic; Noël Malod-Dognin; Ömer Nebil Yaveroglu; Natasa Przulj (CoRR, 2016)

Rebuttal to the Letter to the Editor in response to the paper: proper evaluation of alignment-free network comparison methods. - Ömer Nebil Yaveroglu; Noël Malod-Dognin; Tijana Milenkovic; Natasa Przulj (Bioinform., 2017)

Omics Data Complementarity Underlines Functional Cross-Communication in Yeast. - Noël Malod-Dognin; Natasa Przulj (J. Integr. Bioinform., 2017)

Higher-order molecular organization as a source of biological function. - Thomas Gaudelet; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2018)

Functional geometry of protein interactomes. - Noël Malod-Dognin; Natasa Przulj (Bioinform., 2019)

Graphlet Laplacians for topology-function and topology-disease relationships. - Sam F. L. Windels; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2019)

Probabilistic graphlets capture biological function in probabilistic molecular networks. - Sergio Doria-Belenguer; Markus K. Youssef; René Böttcher; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2020)

Chromatin network markers of leukemia. - Noël Malod-Dognin; Vera Pancaldi; Alfonso Valencia; Natasa Przulj (Bioinform., 2020)

Classification in biological networks with hypergraphlet kernels. - Jose Lugo-Martinez; Daniel Zeiberg; Thomas Gaudelet; Noël Malod-Dognin; Natasa Przulj; Predrag Radivojac (Bioinform., 2021)

Linear functional organization of the omic embedding space. - Alexandros Xenos; Noël Malod-Dognin; S. Milinkovic; Natasa Przulj (Bioinform., 2021)

Identifying cellular cancer mechanisms through pathway-driven data integration. - Sam F. L. Windels; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2022)

A functional analysis of omic network embedding spaces reveals key altered functions in cancer. - Sergio Doria-Belenguer; Alexandros Xenos; Gaia Ceddia; Noël Malod-Dognin; Natasa Przulj (Bioinform., 2023)

Simplicity within biological complexity. - Natasa Przulj; Noël Malod-Dognin (CoRR, 2024)

Graphlets correct for the topological information missed by random walks. - Sam F. L. Windels; Noël Malod-Dognin; Natasa Przulj (CoRR, 2024)

Simplifying complex machine learning by linearly separable network embedding spaces. - Alexandros Xenos; Noël Malod-Dognin; Natasa Przulj (CoRR, 2024)