Online and Non-Parametric Drift Detection Methods Based on Hoeffding’s Bounds

2015 ◽  
Vol 27 (3) ◽  
pp. 810-823 ◽  
Author(s):  
Isvani Frias-Blanco ◽  
Jose del Campo-Avila ◽  
Gonzalo Ramos-Jimenez ◽  
Rafael Morales-Bueno ◽  
Agustin Ortiz-Diaz ◽  
...  
Keyword(s):  
Detection Methods ◽  
Parametric Drift ◽  
Non Parametric

scholarly journals Jonckheere–Terpstra–Kendall-based non-parametric analysis of temporal differential gene expression

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Hitoshi Iuchi ◽  
Michiaki Hamada
Keyword(s):  
Gene Expression ◽  
Time Series ◽  
Time Course ◽  
Time Series Data ◽  
Expression Patterns ◽  
Detection Methods ◽  
Series Data ◽  
Expression Levels ◽  
Over Time ◽  
Non Parametric

Abstract Time-course experiments using parallel sequencers have the potential to uncover gradual changes in cells over time that cannot be observed in a two-point comparison. An essential step in time-series data analysis is the identification of temporal differentially expressed genes (TEGs) under two conditions (e.g. control versus case). Model-based approaches, which are typical TEG detection methods, often set one parameter (e.g. degree or degree of freedom) for one dataset. This approach risks modeling of linearly increasing genes with higher-order functions, or fitting of cyclic gene expression with linear functions, thereby leading to false positives/negatives. Here, we present a Jonckheere–Terpstra–Kendall (JTK)-based non-parametric algorithm for TEG detection. Benchmarks, using simulation data, show that the JTK-based approach outperforms existing methods, especially in long time-series experiments. Additionally, application of JTK in the analysis of time-series RNA-seq data from seven tissue types, across developmental stages in mouse and rat, suggested that the wave pattern contributes to the TEG identification of JTK, not the difference in expression levels. This result suggests that JTK is a suitable algorithm when focusing on expression patterns over time rather than expression levels, such as comparisons between different species. These results show that JTK is an excellent candidate for TEG detection.

A novel framework for making dominant point detection methods non-parametric

2012 ◽  
Vol 30 (11) ◽  
pp. 843-859 ◽  
Author(s):  
Dilip K. Prasad ◽  
Maylor K.H. Leung ◽  
Chai Quek ◽  
Siu-Yeung Cho
Keyword(s):  
Detection Methods ◽  
Dominant Point ◽  
Point Detection ◽  
Non Parametric

Non-parametric fault detection methods in non-linear systems

2016 ◽  
Vol 10 (3) ◽  
pp. 167-176 ◽  
Author(s):  
Elham Kowsari ◽  
Behrooz Safarinejadian ◽  
Jafar Zarei
Keyword(s):  
Fault Detection ◽  
Linear Systems ◽  
Detection Methods ◽  
Non Linear ◽  
Parametric Fault ◽  
Non Linear Systems ◽  
Non Parametric

scholarly journals Detecting correlation changes in multivariate time series: A comparison of four non-parametric change point detection methods

2016 ◽  
Vol 49 (3) ◽  
pp. 988-1005 ◽  
Author(s):  
Jedelyn Cabrieto ◽  
Francis Tuerlinckx ◽  
Peter Kuppens ◽  
Mariel Grassmann ◽  
Eva Ceulemans
Keyword(s):  
Time Series ◽  
Change Point ◽  
Multivariate Time Series ◽  
Change Point Detection ◽  
Detection Methods ◽  
Parametric Change ◽  
Point Detection ◽  
Non Parametric

DNA nick end labeling: a reliable marker for apoptosis?

1995 ◽  
Vol 53 ◽  
pp. 962-963
Author(s):  
Anne F. Bushnell ◽  
Sarah Webster ◽  
Lynn S. Perlmutter
Keyword(s):  
Cell Death ◽  
Cultured Cells ◽  
Apoptotic Cell ◽  
Morphological Characteristics ◽  
Detection Methods ◽  
Tissue Preparation ◽  
Preparation Methods ◽  
Dna Laddering ◽  
Disease States ◽  
Reliable Marker

Apoptosis, or programmed cell death, is an important mechanism in development and in diverse disease states. The morphological characteristics of apoptosis were first identified using the electron microscope. Since then, DNA laddering on agarose gels was found to correlate well with apoptotic cell death in cultured cells of dissimilar origins. Recently numerous DNA nick end labeling methods have been developed in an attempt to visualize, at the light microscopic level, the apoptotic cells responsible for DNA laddering.The present studies were designed to compare various tissue processing techniques and staining methods to assess the occurrence of apoptosis in post mortem tissue from Alzheimer's diseased (AD) and control human brains by DNA nick end labeling methods. Three tissue preparation methods and two commercial DNA nick end labeling kits were evaluated: the Apoptag kit from Oncor and the Biotin-21 dUTP 3' end labeling kit from Clontech. The detection methods of the two kits differed in that the Oncor kit used digoxigenin dUTP and anti-digoxigenin-peroxidase and the Clontech used biotinylated dUTP and avidinperoxidase. Both used 3-3' diaminobenzidine (DAB) for final color development.

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