相关实验视频

Updated: Jul 12, 2025

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

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贝叶斯KAT:基于贝叶斯最佳内核的基因关联研究测试揭示了复杂疾病中的联合遗传效应

Sikta Das Adhikari, Yuehua Cui, Jianrong Wang

    bioRxiv : the preprint server for biology
    |October 31, 2023
    PubMed
    概括

    BayesKAT是一种新的贝叶斯框架,通过自适应地选择最佳核心来有效地识别复杂的遗传关联,用于组级遗传变异分析. 该方法改进了针对多基因疾病的现有技术,提供了增强的功率和I型错误控制.

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    Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization08:27

    Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

    Published on: July 27, 2021

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    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry05:53

    Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

    Published on: June 21, 2018

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    相关概念视频

    Genome-wide Association Studies-GWAS01:11

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    Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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    Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data01:16

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    Expected Frequencies in Goodness-of-Fit Tests01:19

    Expected Frequencies in Goodness-of-Fit Tests

    A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
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    Statistical Hypothesis Testing01:16

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    Test for Homogeneity01:23

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