Opening book details…
Can I read Biological Networks Analysis on EtoBox?
Biological Networks Analysis by Najma; Anam Farooqui is a book available to read on EtoBox.
What is Biological Networks Analysis about?
Networks are widely recognized as a popular method for representing complex biological processes by capturing the interconnected relationships between different biological components using binary interactions or connections. This chapter discusses many forms of biological networks and network models that are important for understanding complicated networks. In addition, we describe different network measures that are quantifiable description of biological networks. We also discussed different methods for detection of community. We briefly mention about hubs and formation of rich-club, system-level organization in a hierarchical network, detection of network modules and motifs, and biomarkers. Lastly, we examine several databases that contain biological networks and explore how network modules are utilized in understanding the dynamics of diseases. We anticipate that a wide range of readers, from experts to newcomers, will benefit from this chapter and be influenced to advance the field.
- Author
- Najma; Anam Farooqui
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789819942411
- Subjects
- Medical, Science, Biology
More by Najma; Anam Farooqui
Browse all works by Najma; Anam Farooqui
Similar books
- Protein Interaction Networks : Computational Analysis — Aidong Zhang (2009)
- Sensory Neural Networks : Lateral Inhibition — Nabet, Bahram, Pinter, Robert B. (1991)
- Analysis of proteomes—IV — Rakeeb Ahmad Mir; Sheikh Mansoor Shafi; Sajad Majeed Zargar (2023)
- Systems Biology : Properties of Reconstructed Networks — Bernhard Ø. Palsson (2006)
- Artificial neural networks : International workshop : Papers — Prieto, A. (Alberto), 1945-, IEEE Computer Society. Spanish Chapter (1991)
- Self-Organization in Biological Systems — Scott Camazine; Jean-Louis Deneubourg; Nigel R. Franks; James Sneyd; Guy Theraulaz; Eric Bonabeau (2020)