نتایج جستجو برای: pca

تعداد نتایج: 23925  

2015
Jan Pencik Michaela Schlederer Wolfgang Gruber Christine Unger Steven M. Walker Athena Chalaris Isabelle J. Marié Melanie R. Hassler Tahereh Javaheri Osman Aksoy Jaine K. Blayney Nicole Prutsch Anna Skucha Merima Herac Oliver H. Krämer Peter Mazal Florian Grebien Gerda Egger Valeria Poli Wolfgang Mikulits Robert Eferl Harald Esterbauer Richard Kennedy Falko Fend Marcus Scharpf Martin Braun Sven Perner David E. Levy Tim Malcolm Suzanne D. Turner Andrea Haitel Martin Susani Ali Moazzami Stefan Rose-John Fritz Aberger Olaf Merkel Richard Moriggl Zoran Culig Helmut Dolznig Lukas Kenner

Prostate cancer (PCa) is the most prevalent cancer in men. Hyperactive STAT3 is thought to be oncogenic in PCa. However, targeting of the IL-6/STAT3 axis in PCa patients has failed to provide therapeutic benefit. Here we show that genetic inactivation of Stat3 or IL-6 signalling in a Pten-deficient PCa mouse model accelerates cancer progression leading to metastasis. Mechanistically, we identif...

2012
Linbin Yu Miao Zhang Chris H. Q. Ding

Principal component analysis (PCA) (also called Karhunen Loève transform) has been widely used for dimensionality reduction, denoising, feature selection, subspace detection and other purposes. However, traditional PCA minimizes the sum of squared errors and suffers from both outliers and large feature noises. The L1-norm based PCA (more precisely L1,1 norm) is more robust. Yet, the optimizatio...

Journal: :CoRR 2014
Pengtao Xie Eric P. Xing

Principal Component Analysis (PCA) aims to learn compact and informative representations for data and has wide applications in machine learning, text mining and computer vision. Classical PCA based on a Gaussian noise model is fragile to noise of large magnitude. Laplace noise assumption based PCA methods cannot deal with dense noise effectively. In this paper, we propose Cauchy Principal Compo...

Journal: :Computational statistics & data analysis 2013
J. Paul Brooks José H. Dulá Edward L. Boone

The L1 norm has been applied in numerous variations of principal component analysis (PCA). L1-norm PCA is an attractive alternative to traditional L2-based PCA because it can impart robustness in the presence of outliers and is indicated for models where standard Gaussian assumptions about the noise may not apply. Of all the previously-proposed PCA schemes that recast PCA as an optimization pro...

Journal: :Free radical research 2006
Vaqar M Adhami Hasan Mukhtar

Prostate cancer (PCa) is the most common non-cutaneous cancer diagnosed in North America with similar trends in many Western countries. Geographic, epidemiological and laboratory studies suggest a role for dietary constituents in the etiology as well as prevention of PCa. The rising incidence of PCa in several countries appears to be coincidental with adoption of western lifestyle. Increase in ...

2013
Shin Hyung Kim Yang-Sik Shin Young Jun Oh Jeong Rim Lee Sung Chan Chung Yong Seon Choi

PURPOSE Opioid-based intravenous patient-controlled analgesia (IV PCA) is popular method of postoperative pain control, but many patients suffer from IV PCA-related postoperative nausea and vomiting (PONV). In this retrospective observational study, we have determined independent predictors of IV PCA-related PONV and predictive values of the Apfel's simplified risk score in pursuance of identif...

2017
Chen Chen Zhongqiu Xin

BACKGROUND Prostate cancer (PCa) is a serious public health concern for men worldwide. However, the risk factors for PCa remain largely unclear. Aim of this study was to investigate statistical associations between the risk of prostate cancer and the rs1058205 single-nucleotide polymorphism (SNP) of the KLK3 gene, which encodes the prostate specific antigen (PSA), in a case-control study of Han...

2015
Hongjun Xie Lei Li Guodong Zhu Qiang Dang Zhenkun Ma Dalin He Luke Chang Wenbing Song Hong-Chiang Chang John J. Krolewski Kent L. Nastiuk Shuyuan Yeh Chawnshang Chang

High fat dietary intake may increase the risk of prostate cancer (PCa). Pre-adipocytes, one of the basic components in the tumor microenvironment (TME), are capable of differentiating into adipose tissues and play key roles to affect PCa progression. Here we found the pre-adipocytes could be recruited more easily to PCa than its surrounding normal prostate tissue. In vitro co-culture system als...

Journal: :مدیریت صنعتی 0
هاشم عمرانی استادیار مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران رامین قاری زاده بیرق دانشجوی کارشناسی ارشد مهندسی صنایع، دانشگاه صنعتی ارومیه، ارومیه، ایران سعید شفیعی کلیبری کارشناس مهندسی صنایع، دانشگاه پیام نور تبریز، تبریز، ایران

this paper presents an integrated data envelopment analysis (dea) – principal component analysis (pca) – analytical hierarchy process (ahp) to achieve the efficiency scores and ranks of the insurance companies. fourteen insurance companies with thirteen input and output variables have been considered for the purpose of this study. since the dea model is sensitive to the number of variables in c...

Journal: :Journal of experimental & clinical cancer research : CR 2016
Hongtuan Zhang Shadan Li Xiong Yang Baomin Qiao Zhihong Zhang Yong Xu

BACKGROUND We conducted multiple microarray datasets analyses from clinical and xenograft tumor tissues to search for disease progression-driving oncogenes in prostate cancer (PCa). Sperm-associated antigen 5 (SPAG5) attracted our attention. SPAG5 was recently identified as an oncogene participating in lung cancer and cervical cancer progression. However, the roles of SPAG5 in PCa progression r...

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