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相关概念视频

Genetic Screens02:46

Genetic Screens

4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Genetic Lingo01:11

Genetic Lingo

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Overview
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Combinatorial Gene Control02:33

Combinatorial Gene Control

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Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
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Multiple Regression01:25

Multiple Regression

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

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Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
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相关实验视频

Updated: Jun 7, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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在不完整数据上进行符号回归的基于遗传编程的特征选择.

Baligh Al-Helali1, Qi Chen2, Bing Xue3

  • 1School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand baligh.al-helali@ecs.vuw.ac.nz.

Evolutionary computation
|November 21, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种基因编程方法,用于在不完整的高维数据上进行象征回归. 该方法有效地处理缺失值和无关的特征,提高准确性和效率.

关键词:
功能选择 功能选择基因编程是一种基因编程.高维度是指高的维度.不完整的数据 不完整的数据符号回归是一种象征性的回归.

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Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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相关实验视频

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科学领域:

  • 机器学习 机器学习
  • 数据科学数据科学数据科学
  • 计算智能是一种计算智能.

背景情况:

  • 高维度和不完整的数据在象征回归中带来了重大挑战.
  • 传统的遗传编程需要数据归算,这对于不相关的特征可能是低效的.

研究的目的:

  • 开发一种基于遗传编程的方法,直接从不完整的高维数据中进行特征选择.
  • 通过有效处理缺失值和无关的特征来提高符号回归性能.

主要方法:

  • 将基因编程扩展到函数操作员中的身份/中立元素,以管理缺失的数据.
  • 从不完整的数据集中直接选择特征的新方法的实施.

主要成果:

  • 拟议的方法在具有不完整数据的高维象征回归任务上优于最先进的技术.
  • 实现了卓越的符号回归精度,并确定了较小的相关特征子集.

结论:

  • 新型遗传编程方法有效地解决了在符号回归中不完整,高维数据的挑战.
  • 该方法提高了符号回归学习过程的准确性和效率.