๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

[SpringerBriefs in Electrical and Computer Engineering] Computational Cancer Biology || Inferring Gene Interaction Networks

โœ Scribed by Vidyasagar, Mathukumalli

Book ID
120468846
Publisher
Springer London
Year
2012
Weight
906 KB
Category
Article
ISBN
1447147510

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

[SpringerBriefs in Electrical and Comput
[SpringerBriefs in Electrical and Computer Engineering] Network Inference in Molecular Biology || Step 3: Using Time-Series Data
โœ Lingeman, Jesse M.; Shasha, Dennis ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer New York ๐ŸŒ English โš– 560 KB

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 ever

[SpringerBriefs in Electrical and Comput
[SpringerBriefs in Electrical and Computer Engineering] A Rapid Introduction to Adaptive Filtering || Introduction
โœ Vega, Leonardo Rey; Rey, Hernan ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› Springer Berlin Heidelberg ๐ŸŒ German โš– 123 KB

In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative metho