C. Durán

发表

Enlightening discriminative network functional modules behind Principal Component Analysis separation in differential-omic science studies

A. Shevchenko, J. Guck, S. Ciucci, 2017, Scientific Reports.

Machine learning pattern recognition and differential network analysis of gastric microbiome in the presence of proton pump inhibitor treatment or Helicobacter pylori infection

Pirjo Spuul, A. Gasbarrini, M. Schroeder, 2020, bioRxiv.

Lipidomics in Major Depressive Disorder

C. Kirschbaum, C. Cannistraci, C. Durán, 2018, Front. Psychiatry.

10 TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING IN SYSTEMS BIOLOGY SUMMARY

M. Schroeder, J. Haupt, C. Durán, 2016 .

Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism

F. Beuschlein, C. Cannistraci, C. Durán, 2020, JAMA network open.

Pioneering topological methods for network-based drug–target prediction by exploiting a brain-network self-organization theory

Michael Schroeder, Simone Daminelli, V. Joachim Haupt, 2017, Briefings Bioinform..

Measuring Group Separability in Geometrical Space for Evaluation of Pattern Recognition and Dimension Reduction Algorithms

S. Ciucci, C. Cannistraci, C. Durán, 2022, IEEE Access.

Measuring group-separability in geometrical space for evaluation of pattern recognition and embedding algorithms pdf

C. Duran, S. Ciucci, CV. Cannistraci, 2019, ArXiv.

Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks pdf

Simone Daminelli, Carlo Vittorio Cannistraci, Josephine Maria Thomas, 2015, ArXiv.

Geometrical inspired pre-weighting enhances Markov clustering community detection in complex networks

Alessandro Muscoloni, Carlo Vittorio Cannistraci, Claudio Durán, 2021, Applied Network Science.

Topo-pathological re-wiring in brain structural connectomes of de novo Parkinson’s Disease patients

G. Anastasi, P. Bramanti, S. Ciucci, 2016 .

LIPEA: Lipid Pathway Enrichment Analysis

Sara Ciucci, Carlo Vittorio Cannistraci, Claudio Durán, 2018, bioRxiv.

Steroid metabolomics: machine learning and multidimensional diagnostics for adrenal cortical tumors, hyperplasias, and related disorders

Graeme Eisenhofer, Carlo Vittorio Cannistraci, Claudio Durán, 2019, Current Opinion in Endocrine and Metabolic Research.

Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome

Pirjo Spuul, A. Gasbarrini, M. Schroeder, 2021, Nature Communications.

Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers

Jochen Guck, Yan Ge, Philipp Rosendahl, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Nonlinear Markov Clustering by Minimum Curvilinear Sparse Similarity pdf

C. Duran, A. Acevedo, S. Ciucci, 2019, ArXiv.