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相关概念视频

Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

30.6K
Genetic transfer occurs when genetic information is passed from one organism to another. It occurs via two mechanisms: vertical gene transfer and horizontal gene transfer. Vertical gene transfer occurs when genetic information is transferred from one generation to the next, which happens much more frequently than horizontal gene transfer. Both sexual and asexual reproduction are forms of vertical gene transfer, where one or more organisms pass some or all of their genome onto their progeny.
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Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Prediction Intervals01:03

Prediction Intervals

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Power Dissipated in a Circuit: Problem Solving01:15

Power Dissipated in a Circuit: Problem Solving

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The equivalent resistance of a combination of resistors depends on their values and how they are connected.
The simplest combinations of resistors are series and parallel connections. In a series circuit, the first resistor's output current flows into the second resistor's input; therefore, each resistor's current is the same. Thus, the equivalent resistance is the algebraic sum of the resistances. The current through the circuit can be found from Ohm's law and is equal to the...
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相关实验视频

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Trans-vivo Delayed Type Hypersensitivity Assay for Antigen Specific Regulation
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通过间隔类型-2 T-S 模糊框架对不确定的延迟遗传调节网络进行扩展的消耗性分析.

Menglu Zhu, Yi Zeng, Yankui Shi

    IEEE transactions on cybernetics
    |January 19, 2026
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    概括

    这项研究引入了一种新的间隔类型-2模糊方法,用于分析具有延迟的不确定的遗传调节网络 (GRNs). 该方法提高了这些复杂的生物系统的稳定性和控制设计.

    科学领域:

    • 系统生物学 系统生物学
    • 控制理论 控制理论
    • 计算生物学 计算生物学

    背景情况:

    • 遗传调节网络 (GRNs) 呈现出复杂的动态和参数不确定性.
    • 延迟的系统和不确定性在GRN建模和控制中带来了重大挑战.
    • 与传统的模糊集相比,间隔类型-2 (IT2) 模糊逻辑提供了更强大的处理不确定性的能力.

    研究的目的:

    • 使用IT2 Takagi-Sugeno (T-S) 模糊框架,为不确定的延迟GRNs开发扩展散散分析.
    • 通过IT2模糊集,建立GRN动态和参数不确定性的可靠表示.
    • 为了获得最大允许延迟的明确边界,并验证性能指标.

    主要方法:

    • 构建一个小说Lyapunov-Krasovskii (L-K) 的功能.
    • 开发一个统一的分析框架,用于{L}_{2}$ - {L}_{infty }$性能,减弱,被动性和消散性验证.
    • 实施一个会员功能依赖 (MFD) 稳定性标准,利用IT2模糊集特征.

    主要成果:

    • 获得了允许的最大延迟极限的明确推导.
    • 拟议的IT2模糊框架提供了一个强大的GRN动态的表示.

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  • 数字示例显示,与现有方法相比,稳定性条件较为保守,散射率指数改善.

    • 结论:

    • 该研究为GRN分析提供了首个IT2模糊方法,有效地处理不确定性和延迟.
    • 开发的方法提升了对GRNs强有力的控制策略的理论理解和实际设计.
    • 这项工作在合成生物学中具有潜在的应用,用于设计更可靠的生物电路.