拓受约束的非负矩阵因子化对于时间变化的欧米表达式
Anirban Dey1, Kaushik Das Sharma2, Amitava Chatterjee3
1Institute of Technical Education & Research, Siksha 'O' Anusandhan, Bhubaneswar, India. anirbandey@soa.ac.in.
Scientific reports
|March 13, 2026
概括
TopConNMF提供了一种稳定而准确的方法来分析复杂的欧米数据,从而从有限的样本中改进生物标志物发现. 这种局限于拓的非负矩阵因子化增强了对疾病进展洞察力的生物解释性.
科学领域:
- 计算生物学 计算生物学
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
背景情况:
- 分析疾病进展的高维欧米数据在小样本大小的情况下具有挑战性.
- 传统的生物标志物发现是昂贵和有限的;非负矩阵因子化 (NMF) 缺乏稳定性和生物相关性.
研究的目的:
- 介绍TopConNMF,一个强大的拓受约束的NMF框架.
- 为了提高欧米数据分析中的稳定性,准确性和生物解释性.
主要方法:
- 开发了TopConNMF,将结构约束纳入NMF.
- 根据两个时间变化的欧米数据集进行评估,并提供基本真相.
- 与传统的NMF和其他最先进的方法进行性能比较.
主要成果:
- TopConNMF在数据集中表现出一致的稳定性和卓越的准确性.
- 与基准方法相比,实现了与生物相关的因子分解.
- 在捕获疾病特异性概况和高维数据的效率方面经过确认的稳定性.
结论:
- TopConNMF提供稳定,可解释的因子分解,以更深入地了解生物系统.
- 它的广泛适用性有助于欧米数据分析和生物标志物发现.
- 促进可靠的生物标志物发现从临床应用有限的OMIC数据.
相关概念视频
Linear Approximation in Time Domain
388
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
388
Linear time-invariant Systems
1.0K
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...
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...
1.0K
Noncompartmental Analysis: Statistical Moment Theory
486
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
486
Regulation of Expression at Multiple Steps
1.5K
The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
1.5K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
1.3K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
1.3K
Vector Algebra: Method of Components
20.4K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
In many applications, the magnitudes and directions of...
20.4K


