Paper
17 May 2022 Statistical research methods for genetics
Qiaochu Fan, Zijie Lu, Yuchen Liu
Author Affiliations +
Proceedings Volume 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022); 122590U (2022) https://doi.org/10.1117/12.2639273
Event: 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, 2022, Kunming, China
Abstract
The study of gene helps people to better understand the patterns of human body. Nowadays Many diseases have been damaging people like Attention deficit/hyperactivity disorder or child psychiatry. Scientists have been trying to defect them by looking and the gene structure and organization of them. People tried to collecting data and do statistical research on it. Geno Statistics is a subject that focus on the mathematical way to study gene structure. It is widely used in the study research. It helps scientists to find a new way to analysis the mechanisms of the disease. Since this is a recent method more study is needed. Supervised Machine Learning is a very essential implement for the research of the genetics. We will explain the function of Supervised Machine Learning and then display some examples of the use of Supervised Machine Learning. We will also discuss the content of Precision Psychiatry in detail and show how it will help for the diagnose for the mental illness. In this article we will look at some practical application in these fields. Imagine genetics, child psychiatry, ADHD, Supervised Machine Learning and Precision Psychiatry.
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Qiaochu Fan, Zijie Lu, and Yuchen Liu "Statistical research methods for genetics", Proc. SPIE 12259, 2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022), 122590U (17 May 2022); https://doi.org/10.1117/12.2639273
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KEYWORDS
Genetics

Machine learning

Psychiatry

Statistical analysis

Amygdala

Neuroimaging

Mental disorders

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