N
Noël Malod-Dognin
Researcher at University College London
Publications - 52
Citations - 2430
Noël Malod-Dognin is an academic researcher from University College London. The author has contributed to research in topics: Medicine & Gene. The author has an hindex of 20, co-authored 44 publications receiving 1959 citations. Previous affiliations of Noël Malod-Dognin include Centrum Wiskunde & Informatica & University of California, Irvine.
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Journal ArticleDOI
A global genetic interaction network maps a wiring diagram of cellular function
Michael Costanzo,Benjamin VanderSluis,Elizabeth N. Koch,Anastasia Baryshnikova,Carles Pons,Guihong Tan,Wen Wang,Matej Usaj,Julia Hanchard,Susan D. Lee,Vicent Pelechano,Erin B. Styles,Maximilian Billmann,Jolanda van Leeuwen,Nydia Van Dyk,Zhen Yuan Lin,Elena Kuzmin,Justin Nelson,Jeff S. Piotrowski,Tharan Srikumar,Sondra Bahr,Yiqun Chen,Raamesh Deshpande,Christoph F. Kurat,Sheena C. Li,Zhijian Li,Mojca Mattiazzi Usaj,Hiroki Okada,Natasha Pascoe,Bryan Joseph San Luis,Sara Sharifpoor,Emira Shuteriqi,Scott W. Simpkins,Jamie Snider,Harsha Garadi Suresh,Yizhao Tan,Hongwei Zhu,Noël Malod-Dognin,Vuk Janjić,Natasa Przulj,Natasa Przulj,Olga G. Troyanskaya,Igor Stagljar,Tian Xia,Tian Xia,Yoshikazu Ohya,Anne-Claude Gingras,Brian Raught,Michael Boutros,Lars M. Steinmetz,Lars M. Steinmetz,Claire Moore,Adam P. Rosebrock,Amy A. Caudy,Chad L. Myers,Brenda J. Andrews,Charles Boone +56 more
TL;DR: A global genetic interaction network highlights the functional organization of a cell and provides a resource for predicting gene and pathway function and how coherent sets of negative or positive genetic interactions connect protein complex and pathways to map a functional wiring diagram of the cell.
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Revealing the Hidden Language of Complex Networks
Ömer Nebil Yaveroğlu,Noël Malod-Dognin,Darren R. Davis,Zoran Levnajić,Vuk Janjić,Rasa Karapandza,Aleksandar Stojmirović,Nataša Pržulj +7 more
TL;DR: This work discovers that the interaction between a small number of roles, played by nodes in a network, can characterize a network's structure and also provide a clear real-world interpretation, and develops a framework for analysing and comparing networks, which outperforms all existing ones.
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Integrative methods for analyzing big data in precision medicine
TL;DR: This work outlines key challenges in precision medicine and present recent advances in data integration‐based methods to uncover personalized information from big data produced by various omics studies.
Journal ArticleDOI
L-GRAAL: Lagrangian graphlet-based network aligner.
Noël Malod-Dognin,Nataša Pržulj +1 more
TL;DR: L-GRAAL's results are the first to show that topological information is more important than sequence information for uncovering functionally conserved interactions, and is compared with the state-of-the-art network aligners on the largest available PPI networks from BioGRID.
Journal ArticleDOI
Graphlet-based Characterization of Directed Networks.
TL;DR: The canonical correlation analysis framework is extended, allowing domain-specific interpretation of a directed network’s topology, and insights into preservation of enzyme function from the network wiring patterns rather than from sequence data are yielded.