Description: Discriminative Pattern Discovery on Biological Networks Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Fabio Fassetti, Simona E. Rombo, Cristina Serrao Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319634760, 978-3319634760 Synopsis This work provides a review of biological networks as a model for analysis, presenting and discussing a number of illuminating analyses. Biological networks are an effective model for providing insights about biological mechanisms. Networks with different characteristics are employed for representing different scenarios. This powerful model allows analysts to perform many kinds of analyses which can be mined to provide interesting information about underlying biological behaviors. The text also covers techniques for discovering exceptional patterns, such as a pattern accounting for local similarities and also collaborative effects involving interactions between multiple actors (for example genes). Among these exceptional patterns, of particular interest are discriminative patterns, namely those which are able to discriminate between two input populations (for example healthy/unhealthy samples). In addition, the work includes a discussion on the most recent proposal on discovering discriminative patterns, in which there is a labeled network for each sample, resulting in a database of networks representing a sample set. This enables the analyst to achieve a much finer analysis than with traditional techniques, which are only able to consider an aggregated network of each population.
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Book Title: Discriminative Pattern Discovery on Biological Networks
Number of Pages: 45 Pages
Language: English
Publication Name: Discriminative Pattern Discovery on Biological Networks
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Medicine, Computer Science, Biology
Item Height: 235 mm
Item Weight: 1007 g
Type: Textbook
Author: Simona E. Rombo, Fabio Fassetti, Cristina Serrao
Series: Springerbriefs in Computer Science
Item Width: 155 mm
Format: Paperback
