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相关概念视频

Correlation01:09

Correlation

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Correlation and Regression00:53

Correlation and Regression

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Associative Learning01:27

Associative Learning

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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
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Ligand Binding and Linkage00:49

Ligand Binding and Linkage

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Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
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相关实验视频

Updated: Jul 27, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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协会之间的协会.

Xuemei Hu1,2, Mingyang Zhao1,2, Xue Yang2

  • 1Clinical Medical College of Jining Medical University, Jining, Shandong, China.

Frontiers in physiology
|June 5, 2023
PubMed
概括
此摘要是机器生成的。

这次元分析发现SLC6A11 rs2304725和GABRG2 rs211037变体与耐药性 (DRE) 之间没有显著联系. 然而,rs2304725在过度主导模型中显示出相关性,rs211037在亚洲人群中显示出遗传风险.

关键词:
这就是GABRG2的原因.在 SLC6A1111 中.药物耐药性 - 抗药性这是一个元分析.一个核酸的多态性.

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科学领域:

  • 遗传学 遗传学 是一个
  • 神经学 神经学
  • 药物基因组学 药物基因组学

背景情况:

  • 之前的研究表明,SLC6A11和GABRG2基因与耐药性 (DRE) 之间存在联系.
  • 文献中的相互矛盾的结果需要对这种关联进行系统的评估.
  • 了解DRE的遗传因素对于开发向疗法至关重要.

研究的目的:

  • 系统地评估SLC6A11 (rs2304725) 和GABRG2 (rs211037) 中的DRE和遗传变异之间的关系.
  • 澄清关于这些基因对DRE.的遗传贡献的相互矛盾的发现.
  • 为现有证据提供全面的元分析.

主要方法:

  • 在多个数据库 (PubMed,Embase,Cochrane图书馆,科学网等) 进行系统的文献搜索. ) 的情况.
  • 使用基于研究异质性的固定或随机效应模型进行元分析 (Q测试,I2统计).
  • 使用chi-square比率进行偏差评估.

主要成果:

  • 分析了11项涉及3813名患者的试验.
  • 在大多数模型中,SLC6A11 rs2304725与DRE风险没有显著的相关性,除了超主导模型中的潜在关联 (OR = 1.08).
  • GABRG2 rs211037在聚合分析中显示了与DRE的微弱显著相关性,以及亚洲人群的遗传风险,跨过等位基因,主导和添加模型.

结论:

  • 在一般聚合人群中,SLC6A11 rs2304725和GABRG2 rs211037与DRE没有显著的相关性.
  • 对 rs2304725 的过度主导模型和对 rs211037 的亚洲种群的特定模型需要进一步调查.
  • 在SLC6A11和GABRG2中的遗传变异可能在DRE中发挥作用,特别是在特定的族群或遗传模型中.