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Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

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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...
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Structure and Organization of Smooth Muscles01:13

Structure and Organization of Smooth Muscles

8.6K
Smooth muscle tissue is a type of muscle tissue that can be found lining various vital organs in the human body, including the lungs, blood vessels, digestive tract, and respiratory tract. This type of tissue is responsible for regulating the movements of these organs, playing crucial roles in the functioning of various systems, including the vascular, digestive, respiratory, and urinary systems.
Structure of smooth muscle cell
Smooth muscle cells are spindle-shaped with tapering ends and a...
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Multi-Step Reactions02:31

Multi-Step Reactions

8.7K
Chemical reactions often occur in a stepwise fashion involving two or more distinct reactions taking place in a sequence. A balanced equation indicates the reacting species and the product species, but it reveals no details about how the reaction occurs at the molecular level. The reaction mechanism (or reaction path) provides details regarding the precise, step-by-step process by which a reaction occurs. Each of the steps in a reaction mechanism is called an elementary reaction. These...
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Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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Insertion of Multi-pass Transmembrane Proteins in the RER01:29

Insertion of Multi-pass Transmembrane Proteins in the RER

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The rough ER membrane synthesizes, assembles, and embeds transmembrane proteins in diverse topologies. These proteins function as transporters or channels and can remain in the ER membrane or are sent to the Golgi complex, lysosome, and cell membrane.
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Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

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In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
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Updated: Jan 28, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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構造的平滑性を備えたマルチサブスペース対照学習による単一細胞マルチオミクスデータのクラスタリング

Yun Ding1, Yangzhen Jiang1, Jing Wang1

  • 1School of Artificial Intelligence, Anhui University, 111 Jiulong Road, Hefei 230601, China.

Briefings in bioinformatics
|January 27, 2026
PubMed
まとめ
この要約は機械生成です。

本研究では、単一細胞マルチオミクスデータのクラスタリングのための新しい方法であるscMUSCLEを紹介します。多様な特徴抽出と一貫した平滑化に焦点を当てることでデータ統合を強化し、複雑な生物学的データの精度を向上させます。

キーワード:
対照学習グラフニューラルネットワークマルチオミクスクラスタリング単一細胞

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Isolation of Endothelial Cells from the Lumen of Mouse Carotid Arteries for Single-Cell Multi-Omics Experiments
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科学分野:

  • 計算生物学
  • ゲノミクス
  • バイオインフォマティクス

背景:

  • 単一細胞マルチオミクスデータの統合は、細胞の不均一性を理解するために重要です。
  • 既存のクラスタリング方法は、単一細胞データにおけるノイズ、スパース性、および細胞間不均一性に苦労しています。
  • 現在のマルチオミクスアプローチは、多様な特徴抽出と融合後の平滑化を見落としがちです。

主な方法:

  • 各オミクスモダリティ内の構造的多様性を強化するために、次数構造を活用すること。
  • クロスモーダル特徴探索を改善するために、マルチサブスペース対照学習を採用すること。
  • クラスター内平滑化フィードバックを備えた適応型グラフ畳み込みクラスタリングモジュールを利用すること。

結論:

  • scMUSCLEは、単一細胞マルチオミクスデータ分析において大きな進歩をもたらします。
  • 提案された方法は、より正確なクラスタリングのために特徴抽出と平滑化を強化します。
  • このアプローチは、多様な細胞集団における調節メカニズムを解明するための堅牢なフレームワークを提供します。