Network Inference in Molecular Biology
A Hands-on Framework
Seiten
2012
|
2012 ed.
Springer-Verlag New York Inc.
978-1-4614-3112-1 (ISBN)
Springer-Verlag New York Inc.
978-1-4614-3112-1 (ISBN)
Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set.
Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation.
Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.
Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation.
Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.
The Gene Network Inference Problem.- Experimental Inputs.- Running Examples.- Overall Workflow of Inference.- Sample Pipelines.- Roll Your Own Pipeline.- Appendix.
| Reihe/Serie | SpringerBriefs in Electrical and Computer Engineering |
|---|---|
| Zusatzinfo | 58 Illustrations, black and white; IX, 100 p. 58 illus. |
| Verlagsort | New York, NY |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Weitere Themen ► Bioinformatik | |
| Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie | |
| Schlagworte | Clustering • gene regulatory networks • Knock-outs • Network inference • Overexpression |
| ISBN-10 | 1-4614-3112-3 / 1461431123 |
| ISBN-13 | 978-1-4614-3112-1 / 9781461431121 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
IT zum Anfassen für alle von 9 bis 99 – vom Navi bis Social Media
Buch | Softcover (2021)
Springer (Verlag)
CHF 41,95
Interlingua zur Gewährleistung semantischer Interoperabilität in der …
Buch | Softcover (2023)
Springer Fachmedien (Verlag)
CHF 46,15
Eine Einführung mit Java
Buch | Hardcover (2020)
dpunkt (Verlag)
CHF 62,85
