Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

1.3K
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...
1.3K
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

2.5K
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).
2.5K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

16.8K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
16.8K
DNA Microarrays02:34

DNA Microarrays

17.1K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.1K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

63
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
63
Wilcoxon Signed-Ranks Test for Median of Single Population01:14

Wilcoxon Signed-Ranks Test for Median of Single Population

73
The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
73

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Retraction notice to "Effect of soil texture and zinc oxide nanoparticles on growth and accumulation of cadmium by wheat; a life cycle study" [Environ. Res. 216 (2023)114397].

Environmental research·2026
Same author

SynBio-DSP: an integrated synthetic biology platform with fed-batch fermentation and continuous downstream processing for sustainable production of thermostable cellulases.

Biotechnology for biofuels and bioproducts·2026
Same author

Revisiting the null association between hypertensive disorders of pregnancy and offspring kidney function: methodological considerations.

Pediatric nephrology (Berlin, Germany)·2026
Same author

Lipase from Stenotrophomonas maltophilia strain HO5 for efficient biodiesel synthesis using non-edible plant oils.

Scientific reports·2026
Same author

The effectiveness of surgical management in knee flexion contracture in primary total knee arthroplasty.

Pakistan journal of medical sciences·2026
Same author

Integrating gene expression and morphological traits for drought stress adaptation in maize hybrids.

Scientific reports·2026
Same journal

Rapid personalisation of cardiovascular models using invasively measured right ventricular pressure.

Computers in biology and medicine·2026
Same journal

Biologically inspired mechanisms for enhancing robustness in EEG signal modeling: Challenges, opportunities, and perspectives.

Computers in biology and medicine·2026
Same journal

Machine learning-based detection of missed inspiratory efforts using esophageal pressure during noisy pressure support ventilation.

Computers in biology and medicine·2026
Same journal

A computational model of chemically- and mechanically-induced thrombus formation in cerebral aneurysms.

Computers in biology and medicine·2026
Same journal

An improved catch fish optimization based deep learning model for Parkinson disease classification using EEG signal.

Computers in biology and medicine·2026
Same journal

Assessing the robustness of evaluation metrics for synthetic ECG signal quality.

Computers in biology and medicine·2026
查看所有相关文章

相关实验视频

Updated: May 13, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K

在高维微阵列数据中选择特征的修改强大的比例重叠得分.

Muhammad Hamraz1, Tahir Abbas2, Fawad Ali1

  • 1Department of Statistics, Abdul Wali Khan University, Mardan, 23200, Pakistan.

Computers in biology and medicine
|April 15, 2025
PubMed
概括
此摘要是机器生成的。

修改后的强大比例重叠评分 (MRPOS) 从高维基基因表达数据中有效地选择歧视性基因. 这种新的特征选择方法解决了维度的诅咒,提高了生物研究中的分类准确性.

关键词:
错误分类是因为分类错误.基因表达 基因表达 基因表达重叠得分的得分重叠.随机的森林随机的森林鲁塞乌和克鲁统计数据支持矢量机器 (SVM) 是一个支持矢量机器.k-最近的邻居 (k-NN)

更多相关视频

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

607
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.2K

相关实验视频

Last Updated: May 13, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

607
Competitive Genomic Screens of Barcoded Yeast Libraries
11:59

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

18.2K

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 高维微阵列数据集由于维度 (n << p) 的诅咒而存在挑战.
  • 传统的特征选择方法与这些数据集中大量的基因和有限的样本作斗争.
  • 有效的基因选择对于准确的生物数据分析和分类至关重要.

研究的目的:

  • 引入修改后的强大比例重叠得分 (MRPOS),一种新的特征选择方法.
  • 在高维基基因表达数据中增强对二元分类问题的基因选择.
  • 通过最大限度地减少阶级间的相似性和最大限度地提高阶级差异化来强有力的识别歧视性基因.

主要方法:

  • 为了基因评估,MRPOS使用了强大的分散统计数据 (Sn和Qn).
  • 基因表达重叠被评估以确定最能区分类别的基因.
  • 使用了四个基因表达数据集,分为70%的培训和30%的测试子集.
  • 使用随机森林,k-NN和SVM分类器对现有的四种特征选择技术进行了性能评估.

主要成果:

  • MRPOS在识别歧视性基因方面表现出有效性.
  • 该方法成功地减少了维度的诅咒的影响.
  • 分析和可视化了分类错误率,显示了MRPOS的优势.
  • 对比分析证实了拟议方法与既有技术相比具有独特性和有效性.

结论:

  • 修改的强健比例重叠得分 (MRPOS) 是一个高效的特征选择方法,用于高维基基因表达数据.
  • 在生物信息学中,MRPOS提供了一种强大的方法来克服维度的诅咒.
  • 拟议的方法显示了提高生物研究分类准确性的巨大潜力.