Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Giorgio Jansen; Vincenzo Sciacca; Panos Pardalos; Giovanni Giuffrida; Um Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Giorgio Jansen; Panos M. Pardalos; Giovanni Giuffrida Springer Nature Switzerland AG (2022) Pehmeäkantinen kirja
Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Giorgio Jansen; Panos M. Pardalos; Giovanni Giuffrida Springer Nature Switzerland AG (2022) Pehmeäkantinen kirja
Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Giorgio Jansen; Vincenzo Sciacca; Panos Pardalos; Giovanni Giuffrida; Um Springer Nature Switzerland AG (2021) Pehmeäkantinen kirja
Giuseppe Nicosia (ed.); Varun Ojha (ed.); Emanuele La Malfa (ed.); Gabriele La Malfa (ed.); Panos Pardalos (ed.); Di Fatta Springer (2023) Pehmeäkantinen kirja
Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Panos Pardalos; Giuseppe Di Fatta; Giovanni Giuffrida Springer International Publishing AG (2023) Pehmeäkantinen kirja
Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Panos M. Pardalos; Renato Umeton Springer International Publishing AG (2024) Pehmeäkantinen kirja
Though the reductionist approachto biology and medicine has led to several imp- tant advances, further progresses with respect to the remaining challenges require integration of representation, characterization and modeling of the studied systems along a wide range of spatial and time scales. Such an approach, intrinsically - lated to systems biology, is poised to ultimately turning biology into a more precise and synthetic discipline, paving the way to extensive preventive and regenerative medicine [1], drug discovery [20] and treatment optimization [24]. A particularly appealing and effective approach to addressing the complexity of interactions inherent to the biological systems is provided by the new area of c- plex networks [34, 30, 8, 13, 12]. Basically, it is an extension of graph theory [10], focusing on the modeling, representation, characterization, analysis and simulation ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C- plex networks concepts and methods have been used to study disease [17], tr- scription networks [5, 6, 4], protein-protein networks [22, 36, 16, 39], metabolic networks [23] and anatomy [40].