Application of Bioinformatics in Cancers

Von:

Brenner, J. Chad [VerfasserIn]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute, 2019Beschreibung: 1 Online-Ressource (418 p.)ISBN:

9783039217892
9783039217885

Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immisciblePPN: PPN: 1778498752Package identifier: Produktsigel: ZDB-94-OAB

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Open Access. Unrestricted online access star

Creative Commons https://creativecommons.org/licenses/by-nc-nd/4.0 cc

English