Discriminative Pattern Discovery on Biological Networks

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Computer Science, Science & Nature, Science
Cover of the book Discriminative Pattern Discovery on Biological Networks by Fabio Fassetti, Simona E. Rombo, Cristina Serrao, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Fabio Fassetti, Simona E. Rombo, Cristina Serrao ISBN: 9783319634777
Publisher: Springer International Publishing Publication: September 1, 2017
Imprint: Springer Language: English
Author: Fabio Fassetti, Simona E. Rombo, Cristina Serrao
ISBN: 9783319634777
Publisher: Springer International Publishing
Publication: September 1, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book MEMS and Nanotechnology, Volume 5 by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Mobile Web and Intelligent Information Systems by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Towards Dual and Targeted Cancer Therapy with Novel Phthalocyanine-based Photosensitizers by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Spatial Fleming-Viot Models with Selection and Mutation by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Optical Properties of Metallic Nanoparticles by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book E-Learning Systems, Environments and Approaches by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Environmental Politics by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Medical Data Privacy Handbook by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Transport of Energetic Electrons in Solids by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book CMOS Circuits for Biological Sensing and Processing by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Geology of the Nepal Himalaya by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Use of Extraterrestrial Resources for Human Space Missions to Moon or Mars by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Drug Treatment of Sleep Disorders by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book English for Academic Correspondence by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
Cover of the book Rape Trials in England and Wales by Fabio Fassetti, Simona E. Rombo, Cristina Serrao
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy