Bioinformatics and Machine Learning for Cancer Biology - Couverture rigide

 
9783036548142: Bioinformatics and Machine Learning for Cancer Biology
Couverture rigide
ISBN 10 : 3036548149 ISBN 13 : 9783036548142
Editeur : Mdpi AG, 2022

Synopsis

Cancer is a leading cause of death worldwide, claiming millions of lives each year. Cancer biology is an essential research field to understand how cancer develops, evolves, and responds to therapy. By taking advantage of a series of "omics" technologies (e.g., genomics, transcriptomics, and epigenomics), computational methods in bioinformatics and machine learning can help scientists and researchers to decipher the complexity of cancer heterogeneity, tumorigenesis, and anticancer drug discovery. Particularly, bioinformatics enables the systematic interrogation and analysis of cancer from various perspectives, including genetics, epigenetics, signaling networks, cellular behavior, clinical manifestation, and epidemiology. Moreover, thanks to the influx of next-generation sequencing (NGS) data in the postgenomic era and multiple landmark cancer-focused projects, such as The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC), machine learning has a uniquely advantageous role in boosting data-driven cancer research and unraveling novel methods for the prognosis, prediction, and treatment of cancer.

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Éditeur
Mdpi AG
Date d'édition
2022
Langue
anglais
ISBN 10 
3036548149
ISBN 13 
9783036548142
Reliure
Relié
Nombre de pages
198
Éditeur
Wan Shibiao, Fan Yiping, Jiang Chunjie
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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