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

Conservation of Small Populations02:04

Conservation of Small Populations

13.1K
Small population sizes put a species at extreme risk of extinction due to a lack of variation, and a consequent decrease in adaptability. This weakens the chances of survival under pressures such as climate change, competition from other species, or new diseases. Large populations are more likely to survive pressures such as these, as such populations are more likely to harbor individuals that have genetic variants that are adaptive under new stresses. Small populations are much less...
13.1K
Hybrid Zones02:29

Hybrid Zones

16.9K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
16.9K
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

614
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
614
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

190
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
190
Heuristics01:21

Heuristics

78
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
78
Improving Translational Accuracy02:07

Improving Translational Accuracy

9.3K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
9.3K

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

A multiple filter-wrapper feature selection algorithm based on process optimization mechanism for high-dimensional omics data analysis.

PloS one·2025
Same author

[Improving accumulation-mode fraction based on spectral aerosol optical depth in Beijing].

Guang pu xue yu guang pu fen xi = Guang pu·2014
Same author

The effect of stroke and other components in Xing-Nao-Jing on the pharmacokinetics of geniposide.

Journal of ethnopharmacology·2014
Same author

Formulation and evaluation of Cyclosporin A emulgel for ocular delivery.

Drug delivery·2014
Same author

Combination of accelerated solvent extraction and vortex-assisted liquid-liquid microextraction for the determination of dimethyl fumarate in textiles and leathers by gas chromatography-mass spectrometry.

Talanta·2014
Same author

Biochemical and genetic engineering of diatoms for polyunsaturated fatty acid biosynthesis.

Marine drugs·2014
Same journal

Analysis of strength degradation of coal and rock masses and stability of mined areas under long term immersion environment.

PloS one·2026
Same journal

Biogenic Silver-Selenium nanocomposite with anticancer activity and potent efficacy against vancomycin-resistant Staphylococcus aureus.

PloS one·2026
Same journal

Preparation and physicochemical characterization of a biodegradable chitosan/carboxymethyl cellulose hydrogel synthesized in NaOH/urea medium.

PloS one·2026
Same journal

Action-guilt, survivor-guilt, and depression in combat-related PTSD.

PloS one·2026
Same journal

Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.

PloS one·2026
Same journal

Deep learning based two-way feature depiction model for brain tumor detection.

PloS one·2026
查看所有相关文章

相关实验视频

Updated: Jun 11, 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

链混合特征选择算法基于改进的灰狼优化算法.

Xiaotong Bai1, Yuefeng Zheng1, Yang Lu1

  • 1School of Mathematics and Computer, Jilin Normal University, Siping, Jilin, China.

PloS one
|October 8, 2024
PubMed
概括
此摘要是机器生成的。

一个新的混合特征选择算法,Tandem Maximum Kendall Minimum Chi-Square and ReliefF Improved Grey Wolf Optimization (TMKMCRIGWO),提高了分类准确度和尺寸缩小率. 这种算法可以提高分类准确度和尺寸缩小率. 这种方法在复杂的问题解决中优于单个算法.

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

647
Spotting Cheetahs: Identifying Individuals by Their Footprints
09:47

Spotting Cheetahs: Identifying Individuals by Their Footprints

Published on: May 1, 2016

14.8K

相关实验视频

Last Updated: Jun 11, 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

647
Spotting Cheetahs: Identifying Individuals by Their Footprints
09:47

Spotting Cheetahs: Identifying Individuals by Their Footprints

Published on: May 1, 2016

14.8K

科学领域:

  • 机器学习 机器学习
  • 数据挖掘 数据挖掘
  • 生物信息学是一种生物信息学.

背景情况:

  • 单一特征选择方法通常在有效性和性能方面存在局限性.
  • 结合不同技术的混合方法可以克服这些限制.
  • 需要先进的算法来改善复杂数据集中的特征选择.

研究的目的:

  • 为了提出一种新的混合特征选择算法,TMKMCRIGWO.
  • 为了提高分类准确性和尺寸缩小率.
  • 证明拟议的算法在现有方法上的优越性.

主要方法:

  • TMKMCRIGWO算法采用一个两阶段的过方法,使用最大肯德尔最小奇平方 (MKMC) 和ReliefF.
  • 一个包装算法,一个改进的灰狼优化 (IGWO) 随机干扰因子,被用于最佳子集选择.
  • 过器和包装方法的双重组合旨在实现强大的特征选择.

主要成果:

  • 与其他算法相比,TMKMCRIGWO算法在20个数据集中实现了至少0.1%的平均分类准确度增加.
  • 平均维度缩小率 (DRR) 达到24.76%,低维数据集的比例更高 (41.04%) 和高维数据集的比例更低 (0.33%).
  • 该算法展示了改进的模型概括能力和性能.

结论:

  • 与单一方法相比,提议的TMKMCRIGWO算法在特征选择方面提供了更高的性能.
  • 混合战略有效地解决了复杂的问题,从而提高了分类准确性和显著的尺寸缩小.
  • TMKMCRIGWO显示了提高机器学习模型性能和通用性的前景.