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A Feature Selection Method Based on Rough Set Attribute Reduction and Classical Filter-Based Feature Selection for Categorical Data Classification Kapitel lesen Erstes Kapitel lesen

2024 | OriginalPaper | Buchkapitel

TP53 Genetic Testing and Personalized Nutrition Service

verfasst von : Jitao Yang

Erschienen in: Applied Informatics

Verlag: Springer Nature Switzerland

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Abstract

TP53 is one of the tumor suppressor genes found to be highly correlated with human tumor development, this gene can sense stress or damage to cells and prevent cell division or trigger cell death, thereby preventing the proliferation of damaged cells. The P53 protein encoded by TP53 has an anti-tumor effect and is known as the “guardian of the genome”. The mutation of TP53 gene eliminates a key cell safety mechanism, making it the trigger of cancer. In this paper, we first described the relationship between TP53 gene and tumors, and discussed the application of TP53 gene in tumor prediction and treatment, then we developed a TP53 genetic testing service to evaluate the cancer suppression ability of tumors, so that to help individuals to establish a scientific and reasonable lifestyle in a timely manner, and better grasp the initiative of health. Further, we describe the interaction between TP53 gene and nutrition and its impact on the occurrence and development of cancer. Finally, based on the analysis of the genetic testing results and food frequency questionnaires, we developed a personalized nutrition service to reduce the risk of developing the diseases with high genetic risk score.

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Vorheriges Kapitel Gross Motor Skills Development in Children with and Without Disabilities: A Therapist’s Support System Based on Deep Learning and Adaboost Classifiers
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Metadaten
Titel
TP53 Genetic Testing and Personalized Nutrition Service
verfasst von
Jitao Yang
Copyright-Jahr
2024
Buch
Applied Informatics

Print ISBN: 978-3-031-46812-4

Electronic ISBN: 978-3-031-46813-1

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-46813-1_23

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