Information Theory and Statistical Learning

Frontiers in Data Science

Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data

Medical Biostatistics for Complex Diseases

Analysis of Complex Networks: From Biology to Linguistics

Analysis of Microarray Data: A Network-Based Approach

Towards an Information Theory of Complex Networks: Statistical Methods and Applications

Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

Computational Network Analysis with R: Applications in Biology, Medicine and Chemistry

Computational Network Theory: Theoretical Foundations and Applications

Advances in Network Complexity

Computational Network Theory: Theoretical Foundations and Applications

Big Data of Complex Networks

Entrepreneurial Complexity: Methods and Applications

Modern and Interdisciplinary Problems in Network Science: A Translational Research Perspective

Big Data of Complex Networks

Structural Analysis of Complex Networks

Applied Statistics for Network Biology: Methods in Systems Biology

Statistical Modelling of Molecular Descriptors in QSAR/QSPR

Mathematical Foundations and Applications of Graph Entropy