Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Classification of Systems-I01:26

Classification of Systems-I

544
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
544
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

2.9K
In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
2.9K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

384
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
384
SFG Algebra01:16

SFG Algebra

311
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
311
Linear time-invariant Systems01:23

Linear time-invariant Systems

863
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
863
State Space Representation01:27

State Space Representation

519
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
519

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Engineered immunosuppressive dendritic cells protect against cardiac remodelling.

Nature·2026
Same author

Spontaneous whole genome duplication renders mouse embryonic fibroblasts resistant to reprogramming.

Cell & bioscience·2026
Same author

Topologically associating domains define the 3D genome architecture of mouse totipotent-like stem cells.

The Journal of biological chemistry·2026
Same author

Generating high-quality porcine iPSCs with the new medium cocktail LACID.

Stem cell reports·2026
Same author

In vitro mimicking of humanized cardiogenesis under porcine condition.

Cell & bioscience·2026
Same author

Cryo-EM structure of TMEM164 reveals distinct phospholipid remodeling mechanisms with anti-ferroptotic potential.

Nature communications·2025

関連する実験動画

Updated: Jan 13, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K

BioLogical：生物システム論理ダイナミクスのための普遍的解析フレームワーク

Yuxiang Yao1,2, Dong Liu1,2, Zheting Zhang1,2

  • 1Laboratory of Cell Fate Control, School of Life Sciences, Westlake University, Hangzhou, 310030, China.

Computational and structural biotechnology journal
|January 7, 2026
PubMed
まとめ
この要約は機械生成です。

BioLogicalは遺伝子制御システムを解析するための新しいRパッケージであり、複雑な生物学的論理の理解、システム動作のシミュレーション、システム特性の評価を支援する。

キーワード:
複雑な生物システム離散力学遺伝子制御ネットワーク論理解析多値論理

さらに関連する動画

Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.9K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

587

関連する実験動画

Last Updated: Jan 13, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.6K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.9K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

587

科学分野:

  • システム生物学
  • 計算生物学
  • バイオインフォマティクス

背景:

  • 複雑な生物システムは自己組織化と機能性を示す。
  • それらの論理パラダイムとダイナミクスを解析するための統一されたフレームワークが必要である。

研究 の 目的:

  • 遺伝子制御システムの論理を解析するためのRパッケージBioLogicalを紹介。
  • 生物学的システムパラダイムとダイナミクスを解明するための汎用的なツールを提供する。

主な方法:

  • 使いやすいRパッケージBioLogicalを開発。
  • 論理特性を解析するための標準ワークフローを実装。
  • 多値論理シナリオにアルゴリズムを拡張。

主要な成果:

  • BioLogicalが論理パラダイム解明能力を実証。
  • 静的および動的な生物システム指標の計算を実証。
  • システム進化と論理充足可能性のシミュレーションを検証。

結論:

  • BioLogicalは遺伝子制御ネットワークを解析するための包括的なフレームワークを提供する。
  • このパッケージは多値論理と階層的解析をサポートする。
  • システム生物学研究の進歩のためのオープンソースツールを提供する。