Results 31 to 40 of about 1,072,724 (364)
A PCA3 gene-based transcriptional amplification system targeting primary prostate cancer. [PDF]
, 2015 Targeting specifically primary prostate cancer (PCa) cells for immune therapy, gene therapy or molecular imaging is of high importance. The PCA3 long non-coding RNA is a unique PCa biomarker and oncogene that has been widely studied.
Fradet, Yves +5 more
core +2 more sources
Variational Autoencoders Pursue PCA Directions (by Accident) [PDF]
Computer Vision and Pattern Recognition, 2018 The Variational Autoencoder (VAE) is a powerful architecture capable of representation learning and generative modeling. When it comes to learning interpretable (disentangled) representations, VAE and its variants show unparalleled performance.
Michal Rolinek +2 more
semanticscholar +1 more source
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems, 2011 Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that compute positions of the nodes of a wireless network on the basis of pairwise distance measurements require a few leading eigenvectors of the distances matrix.
Satish Babu Korada +2 more
openaire +3 more sources
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
core +1 more source
Potential Partnerships: Progressive Criminology, Grassroots Organizations and Social Justice
International Journal for Crime, Justice and Social Democracy, 2015 Criminologists around the globe are writing about the disproportionate criminalization of minority groups and – in the US in particular – about racial disproportionality in all aspects of the criminal justice system.
Tim Goddard +2 more
doaj +1 more source
Fundus Image Classification Using VGG-19 Architecture with PCA and SVD
Symmetry, 2018 Automated medical image analysis is an emerging field of research that identifies the disease with the help of imaging technology. Diabetic retinopathy (DR) is a retinal disease that is diagnosed in diabetic patients.
Muhammad Mateen +4 more
semanticscholar +1 more source
Performance Comparison of PCA,DWT-PCA And LWT-PCA for Face Image Retrieval [PDF]
Computer Science & Engineering: An International Journal, 2012 This paper compares the performance of face image retrieval system based on discrete wavelet transforms and Lifting wavelet transforms with principal component analysis (PCA). These techniques are implemented and their performances are investigated using f rontal facial images from the ORL database.
J. Madhavan, K. Porkumaran
openaire +1 more source
Terpenoids in four Inula species from Bulgaria [PDF]
Journal of the Serbian Chemical Society, 2021 Phytochemical study of the chloroform extract of the aerial parts of Inula germanica L., I. ensifolia L., I. conyza (Griess.) DC. and I. salicina L. led to the identification of 33 terpenoids.
Trendafilova Antoaneta +4 more
doaj +1 more source
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery [PDF]
IEEE Signal Processing Magazine, 2017 Principal component analysis (PCA) is one of the most widely used dimension reduction techniques. A related easier problem is termed subspace learning or subspace estimation.
Namrata Vaswani +3 more
semanticscholar +1 more source
Multi-lectin Affinity Chromatography and Quantitative Proteomic Analysis Reveal Differential Glycoform Levels between Prostate Cancer and Benign Prostatic Hyperplasia Sera. [PDF]
, 2018 Currently prostate-specific antigen is used for prostate cancer (PCa) screening, however it lacks the necessary specificity for differentiating PCa from other diseases of the prostate such as benign prostatic hyperplasia (BPH), presenting a clinical need
Adusumilli, Ravali +6 more
core +2 more sources