Statistical and Machine Learning Approaches for Network Analysis

Contributors

Lipi Acharya, Department of Computer Science, University of New Orleans, New Orleans, LA, USA

Enrico Capobianco, Laboratory for Integrative Systems Medicine (LISM) IFC-CNR, Pisa (IT); Center for Computational Science, University of Miami, Miami, FL, USA

Christina Chan, Departments of Chemical Engineering and Material Sciences, Genetics Program, Computer Science and Engineering, and Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA

Ricardo de Matos Simoes, Computational Biology and Machine Learning Lab, Center for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, UK

Frank Emmert-Streib, Computational Biology and Machine Learning Lab, Center for Cancer Research and Cell Biology, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, UK

Damien Fay, Computer Laboratory, Systems Research Group, University of Cambridge, UK

Hirosha Geekiyanage, Genetics Program, Michigan State University, East Lansing, MI, USA

Elisabeth Georgii, Department of Information and Computer Science, Helsinki Institute for Information Technology, Aalto University School of Science and Technology, Aalto, Finland

Hamed Haddadi, Computer Laboratory, Systems Research Group, University of Cambridge, UK

Thair Judeh, Department of Computer Science, University of New Orleans, New Orleans, LA, USA

Reinhard Kutzelnigg, Math.Tec, Heumühlgasse, Wien, Vienna, Austria