Application of Bioinformatics in Cancers

Dublin Core

Title

Application of Bioinformatics in Cancers

Subject

Biotechnology

Description

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.

Creator

Brenner, J. Chad

Source

https://www.mdpi.com/books/pdfview/book/1821

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Date

2019

Contributor

Baihaqi

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Brenner, J. Chad, “Application of Bioinformatics in Cancers,” Open Educational Resource (OER) - USK Library, accessed July 20, 2024, http://uilis.usk.ac.id/oer/items/show/4205.

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