| Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks S Daminelli, JM Thomas, C Durán, CV Cannistraci New Journal of Physics 17 (11), 113037, 2015 | 150 | 2015 |
| Use of steroid profiling combined with machine learning for identification and subtype classification in primary aldosteronism G Eisenhofer, C Durán, CV Cannistraci, M Peitzsch, TA Williams, ... JAMA Network Open 3 (9), e2016209-e2016209, 2020 | 65 | 2020 |
| Pioneering topological methods for network-based drug–target prediction by exploiting a brain-network self-organization theory C Durán, S Daminelli, JM Thomas, VJ Haupt, M Schroeder, ... Briefings in bioinformatics 19 (6), 1183-1202, 2018 | 63 | 2018 |
| Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies S Ciucci, Y Ge, C Durán, A Palladini, V Jiménez-Jiménez, ... Scientific reports 7 (1), 43946, 2017 | 58 | 2017 |
| Lipidomics in major depressive disorder A Walther, CV Cannistraci, K Simons, C Duran, MJ Gerl, S Wehrli, ... Frontiers in psychiatry 9, 459, 2018 | 49 | 2018 |
| LIPEA: lipid pathway enrichment analysis A Acevedo, C Durán, S Ciucci, M Gerl, CV Cannistraci BioRxiv, 274969, 2018 | 34 | 2018 |
| Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome C Durán, S Ciucci, A Palladini, UZ Ijaz, AG Zippo, FP Sterbini, L Masucci, ... Nature communications 12 (1), 1926, 2021 | 26 | 2021 |
| Cell mechanics based computational classification of red blood cells via machine intelligence applied to morpho-rheological markers Y Ge, P Rosendahl, C Durán, N Töpfner, S Ciucci, J Guck, CV Cannistraci IEEE/ACM transactions on computational biology and bioinformatics 18 (4 …, 2019 | 11 | 2019 |
| Steroid metabolomics: machine learning and multidimensional diagnostics for adrenal cortical tumors, hyperplasias, and related disorders G Eisenhofer, C Durán, T Chavakis, CV Cannistraci Current Opinion in Endocrine and Metabolic Research 8, 40-49, 2019 | 9 | 2019 |
| Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks C Durán, A Muscoloni, CV Cannistraci Applied Network Science 6 (1), 29, 2021 | 8 | 2021 |
| LIPEA: lipid pathway enrichment analysis. bioRxiv, 274969 A Acevedo, C Durán, S Ciucci, M Gerl, CV Cannistraci | 5 | 2018 |
| Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms A Acevedo, S Ciucci, MJ Kuo, C Durán, CV Cannistraci arXiv preprint arXiv:1912.12418, 2019 | 4 | 2019 |
| Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms A Acevedo, C Duran, MJ Kuo, S Ciucci, M Schroeder, CV Cannistraci IEEE Access 10, 22441-22471, 2022 | 2 | 2022 |
| Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity C Durán, A Acevedo, S Ciucci, A Muscoloni, CV Cannistraci arXiv preprint arXiv:1912.12211, 2019 | 2 | 2019 |
| Sparse Similarity and Network Navigability for Markov Clustering Enhancement C Durán Dissertation, Dresden, Technische Universität Dresden, 2021, 2021 | | 2021 |
| Topo-pathological re-wiring in brain structural connectomes of de novo Parkinson’s Disease patients P Bramanti, A Cacciola, CV Cannistraci, S Ciucci, C Durán, A Calamuneri, ... Italian Journal of Anatomy and Embryology, 15-15, 2016 | | 2016 |
| Dieses Dokument ist eine Zweitveröffentlichung (Verlagsversion) This is a self-archiving document (published version) A Acevedo, C Duran, MJ Kuo | | |
