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在“Elsevier电子期刊”中，命中：26,854条，耗时：小于0.01 秒

在所有数据库中总计命中：14条

1.Multi-institutional Analysis Shows that Low PCAT-14 Expression Associates with Poor Outcomes in Prostate Cancer

作者：Nicole M. White^a ; ^b ; ^&dagger ; ; Shuang G. Zhao^c ; ^d ; ^&dagger ; ; Jin Zhang^a ; ^b ; ^e ; Emily B. Rozycki^a ; Ha X. Dang^a ; ^b ; ^e ; Sandra D. McFadden^a ; Abdallah M. Eteleeb^a ; ^b ; ^e ; Mohammed Alshalalfa^f ; Ismael A. Vergara^f ; Nicholas Erho^f ; Jeffrey M. Arbeit^g ; Robert Jeffrey Karnes^h ; Robert B. Denⁱ ; Elai Davicioni^f ; Christopher A. Maher^a ; ^b ; ^d ; ^j ; ^{christophermaher@wustl.edu}

关键词：Aggressive prostate cancer ; Genomics ; Long noncoding RNA ; Metastases ; PCAT-14 ; PRCAT-104 ; Transcriptome

刊名：European Urology

出版年：2017

2.Can we use PCA to detect small signals in noisy data?

作者：Jakob Spiegelberg ; Já ; n Rusz

关键词：PCA ; Nullspace based denoising ; Blind source separation ; Bias estimation ; Spectrum imaging

刊名：Ultramicroscopy

出版年：2017

3.Comments on the applicability of “An improved weighted recursive PCA algorithm for adaptive fault detection”

作者：Marcos Quiñ ; ones-Grueiro^a ; ^{marcosqg@electrica.cujae.edu.cu} ; Cristina Verde^b ; ^{verde@unam.mx}

关键词：Data-driven fault detection ; False alarm rate ; Weighted recursive PCA ; Fault realization test ; Computational complexity

刊名：Control Engineering Practice

出版年：2017

4.Development of PCA-based cluster quantile regression (PCA-CQR) framework for streamflow prediction: Application to the Xiangxi river watershed, China

作者：Y.R. Fan^a ; G.H. Huang^a ; ^b ; ^{huangg@uregina.ca} ; Y.P. Li^b ; X.Q. Wang^a ; Z. Li^c ; L. Jin^d

关键词：Monthly streamflow prediction ; Principal component analysis ; Nonlinearity ; Maximal information coefficient ; Stepwise cluster analysis ; Probabilistic prediction

刊名：Applied Soft Computing

出版年：2017

5.Use of FTIR spectroscopy and PCA-LDC analysis to identify cancerous lesions within the human colon

作者：E. Kaznowska^a ; ^b ; ¹ ; J. Depciuch^c ; ¹ ; ^{joannadepciuch@gmail.com} ; K. Szmuc^d ; J. Cebulski^d

关键词：FTIR ; Colorectal cancer ; Chemotherapy ; PCA-LDC

刊名：Journal of Pharmaceutical and Biomedical Analysis

出版年：2017

6.Nonlinear sensor fault diagnosis using mixture of probabilistic PCA models

作者：Reza Sharifi^a ; ^{reza.sharifi@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Reza Langari^b ; ^{rlangari@tamu.edu" class="auth_mail" title="E-mail the corresponding author}

关键词：Fault diagnosis ; Sensor fault detection ; Principal Component Analysis ; Mixture of Probabilistic PCA ; Nonlinear fault detection

刊名：Mechanical Systems and Signal Processing

出版年：2017

7.Comparison of t-test ranking with PCA and SEPCOR feature selection for wake and stage 1 sleep pattern recognition in multichannel electroencephalograms

作者：T.K. Padma Shri ; PhD research student^a ; ^b ; ^{padma.shri@manipal.edu" class="auth_mail" title="E-mail the corresponding author} (Senior Associate Professor) ; N. Sriraam^c ; ^{sriraam@msrit.edu" class="auth_mail" title="E-mail the corresponding author} ; ^{natarajan.sriraam@gmail.com" class="auth_mail" title="E-mail the corresponding author} (Professor ; Head of the Department of Medical Electronics)

关键词：Electroencephalogram (EEG) ; Spectral entropy ; t-Test ; Principal component analysis (PCA) ; Separability & correlation (SEPCOR) ; Multilayer perceptron (MLP) neural network ; k-Nearest neighbor (k-NN) classifiers

刊名：Biomedical Signal Processing and Control

出版年：2017

8.Projection pursuit and PCA associated with near and middle infrared hyperspectral images to investigate forensic cases of fraudulent documents

作者：José ; Francielson Queiroz Pereira^a ; Carolina S. Silva^a ; André ; Braz^b ; Maria Fernanda Pimentel^b ; ^mfp@ufpe.br ; Ricardo Saldanha Honorato^c ; Celio Pasquini^d ; Peter D. Wentzell^e

关键词：Hyperspectral image ; Projection pursuit ; Documents ; Forensic ; Principal component analysis

刊名：Microchemical Journal

出版年：2017

9.Feasibility of ANFIS towards multiclass event classification in PFBR considering dimensionality reduction using PCA

作者：Manas Ranjan Prusty^a ; ^{manas.iter144@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; T. Jayanthi^a ; Jaideep Chakraborty^a ; K. Velusamy^b

关键词：Prototype fast breeder reactor ; Adaptive neuro fuzzy inference system ; Principal component analysis ; Dimensionality reduction ; Factor analysis

刊名：Annals of Nuclear Energy

出版年：2017

10.A new LPV modeling approach using PCA-based parameter set mapping to design a PSS

作者：Mohammad B. Abolhasani Jabali ; Mohammad H. Kazemi ; ^{kazemi@shahed.ac.ir}

关键词：Power system stabilizer ; Linear parameter-varying modeling ; Principle component analysis ; Linear matrix inequality regions ; Nonlinear system

刊名：Journal of Advanced Research

出版年：2017

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