Bioinformatics and Machine Learning for Cancer Biology - Rilegato

 
9783036548142: Bioinformatics and Machine Learning for Cancer Biology
Rilegato
ISBN 10: 3036548149 ISBN 13: 9783036548142
Casa editrice: MDPI AG, 2022

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
MDPI AG
Data di pubblicazione
2022
Lingua
Inglese
ISBN 10 
3036548149
ISBN 13 
9783036548142
Rilegatura
Copertina rigida
Numero di pagine
198
Redattore
Wan Shibiao, Fan Yiping, Jiang Chunjie
Contatto del produttore
non disponibile
Persona responsabile
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Germania