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相关概念视频

MicroRNAs01:22

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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...
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MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
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Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
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Classification of Systems-II01:31

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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基于同种类的综合分类器用于加权数字miRNA分类.

Wenyu Sun1, Liu Liu1, Xiaohui Liu1

  • 1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, P. R. China.

Analytical chemistry
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概括
此摘要是机器生成的。

本研究引入了一种基于共体 (ICC) 的综合分类器,用于微RNA (miRNA) 的分类. 这种新的DNA计算方法为生物医学诊断提供了精确的miRNA分析.

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科学领域:

  • 生物技术是生物技术.
  • 分子计算分子计算
  • 生物医学诊断 生物医学诊断

背景情况:

  • DNA分子计算是一个快速发展的领域,在DNA存储和临床诊断方面具有应用.
  • 微RNA (miRNA) 分类对于各种生物医学应用,包括疾病诊断至关重要.

研究的目的:

  • 为准确的miRNA分类构建基于协同体 (ICC) 的综合分类器.
  • 为了利用协同化物作为一个框架和微反应器用于基于DNA的计算.

主要方法:

  • 作为一个计算核心和微反应器用于miRNA分析.
  • 开发了一个DNA分类器,集成在同体结构中.
  • 启用同胞体内的本地处理来报告miRNA输入.

主要成果:

  • 基于共酸盐的分类器证明了不同miRNA的有序分类.
  • 该系统成功实现了结果权重,并执行了算术操作 (乘法,加法).
  • 协同生物作为微反应器,限制miRNA输入并防止干扰.

结论:

  • 基于同胞体 (ICC) 的拟议综合分类器为miRNA分类提供了一个新的平台.
  • 这项技术显示出生物医学诊断应用的巨大潜力.
  • 协同体框架使生物分析的精确和无干扰的分子计算成为可能.