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Advances in Systems Immunology and Cancer

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889193134 Year: Pages: 108 DOI: 10.3389/978-2-88919-313-4 Language: English
Publisher: Frontiers Media SA
Subject: Genetics --- Biology --- Biotechnology --- General and Civil Engineering --- Psychiatry --- Medicine (General) --- Physiology --- Neurology --- Science (General)
Added to DOAB on : 2016-02-05 17:24:33
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Aims and Scope: The Research Topic is designed to feature the latest innovative and leading-edge research, reviews and opinions on the study of complex and dynamic processes related to the mammalian immune system and cancer. All papers were meticulously selected to present our readers the multidisciplinary approach to tackle the existing challenges faced in these important fields. From high throughput experimental methodologies to computational and theoretical approaches, the articles are intended to introduce physicists, chemists, computer scientists, biologists and immunologists the idea of systems biology approach to the understanding of mammalian immune system and cancer processes. Attention was given to works that developed more effective approaches to the treatment of proinflammatory disease and cancer. The strong interdisciplinary focus will discuss biological systems at the level from a few molecules to the entire organism. Specific focus domain includes: Innate and adaptive immunity, cancer and cancer stem cell, genomic, proteomic and metabolic analysis, imaging, biophysics of immune and cancer response, computational modeling, non-linear analysis, statistical analysis, translational and disease models Types of articles: Viewpoint, commentaries, research letters, research articles, review and methodologies

Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data

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ISBN: 9783658205393 9783658205409 Year: Pages: 201 DOI: https://doi.org/10.1007/978-3-658-20540-9 Language: English
Publisher: Springer Nature Grant: Philipps-Universität Marburg
Subject: Mathematics
Added to DOAB on : 2018-06-29 15:12:23
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This book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.

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