Discriminative Pattern Discovery on Biological Networks (Paperback, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computer Science
Release date:	September 2017
First published:	2017
Authors:	Fabio Fassetti • Simona E. Rombo • Cristina Serrao
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	45
Edition:	1st ed. 2017
ISBN-13:	978-3-319-63476-0
Categories:	Books > Medicine > Pre-clinical medicine: basic sciences > Medical genetics Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	3-319-63476-3
Barcode:	9783319634760

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