Results 31 to 40 of about 914,283 (289)
Domain swapping and amyloid fibril conformation [PDF]
, 2012 For several different proteins an apparent correlation has been observed between the propensity for dimerization by domain-swapping and the ability to aggregate into amyloid-like fibrils.
Van Der Wel, PCA
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International Journal of Secondary Metabolite, 2017 In this study, we investigated the effects of cold pressed oil on physicochemical properties of milk thistle (Silybum marianum), anise seed (Pimpinella anisum), fennel seed (Foeniculum vulgare), terebinth (Pistacia terebinthus), coriander (Coriandrum ...
Zeliha Üstün Argon +3 more
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The RNA-binding protein hnRNPA2 regulates β-catenin protein expression and is overexpressed in prostate cancer [PDF]
, 2014 The RNA-binding protein hnRNPA2 (HNRNPA2B1) is upregulated in cancer, where it controls alternative pre-mRNA splicing of cancer-relevant genes. Cytoplasmic hnRNPA2 is reported in aggressive cancers, but is functionally uncharacterized.
Ahmad, Imran +5 more
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EFFICIENCY OF SOME CLASSIFICATION METHODS ADOPTED IN CLINICAL REMINDER SYSTEMS IN CASES OF MIXED DATA [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2008 Cluster analysis techniques are widely used in medical researches. Clustering techniques are not unique and hence users must be extremely conscious about what to use in order to analyze their data.
Imad H.A. AL-Iathary, Murtadhah M.H
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Electronic Journal of Plant Breeding, 2021 The present research focuses on the identification of stable trait specific genetic resources across the five semiarid environments located in the four states of India.
M. Y. Dudhe1*, H. P. Meena1 , M. Sujatha1 , S. B. Sakhre2 , M. K. Ghodke3 , A. M. Misal3 , S. Neelima4 , V. V. Kulkarni5 , Praduman Yadav1 , A. R. G. Ranganatha1 and A. Vishnuvardhan Reddy1
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Statistics & Risk Modeling, 2012 Abstract Many statistical estimation techniques for high-dimensional or functional data are based on a preliminary dimension reduction step, which consists in projecting the sample X 1,...,X n onto the first D eigenvectors of the Principal Component Analysis ...
Biau, Gérard, Mas, André
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Psychometrika, 2019 It is well known that the classical exploratory factor analysis (EFA) of data with more observations than variables has several types of indeterminacy. We study the factor indeterminacy and show some new aspects of this problem by considering EFA as a specific data matrix decomposition.
Eldén, Lars, Trendafilov, Nickolay
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The Turbulence Spectrum of Molecular Clouds in the Galactic Ring Survey: A Density-Dependent PCA Calibration [PDF]
, 2011 Turbulence plays a major role in the formation and evolution of molecular clouds. The problem is that turbulent velocities are convolved with the density of an observed region.
Brunt, Christopher +5 more
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Mamba-Enhanced Background Suppression Diffusion Model for Hyperspectral Anomaly Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingHyperspectral anomaly detection (HAD) faces a significant challenge in separating scarce, small and subtle anomalous targets from complex backgrounds.
Dan Sun, Shengwei Zhong, Chen Gong
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Performance monitoring of MPC based on dynamic principal component analysis
, 2011 A unified framework based on the dynamic principal component analysis (PCA) is proposed for performance monitoring of constrained multi-variable model predictive control (MPC) systems.
Cao, Yuping +3 more
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