Results 61 to 70 of about 564,038 (269)
An Augmented Lagrangian Approach for Sparse Principal Component Analysis [PDF]
, 2009 Principal component analysis (PCA) is a widely used technique for data analysis and dimension reduction with numerous applications in science and engineering. However, the standard PCA suffers from the fact that the principal components (PCs) are usually
Lu, Zhaosong, Zhang, Yong
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, 2014 This article presents two novel adaptive-sparse polynomial dimensional decomposition (PDD) methods for solving high-dimensional uncertainty quantification problems in computational science and engineering.
Rahman, Sharif, Yadav, Vaibhav
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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Environmental ChallengesGroundwater contamination from legacy industrial activities poses serious environmental and public health risks, particularly in Indigenous communities reliant on untreated groundwater sources.
Heinz Breda Toso Sfalsini +9 more
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Nonnegative Low-rank Sparse Component Analysis [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 In this paper we consider a variant of the dictionary learning problem where the dictionary has full rank, the coefficients have a fixed sparsity level, and both the coefficients and the dictionary are nonnegative. It is equivalent to k-sparse nonnegative matrix factorization (K-NMF).
Cohen, Jeremy, Gillis, Nicolas
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Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
IEEE Access, 2018 With the rapid proliferation of wireless services, the frequency spectrum has become increasingly crowded, and the interferences and composite signals will be ubiquitous in the wireless receiver.
Zhongqiang Luo, Chengjie Li, Lidong Zhu
doaj +1 more source
Penalized Orthogonal Iteration for Sparse Estimation of Generalized Eigenvalue Problem
, 2017 We propose a new algorithm for sparse estimation of eigenvectors in generalized eigenvalue problems (GEP). The GEP arises in a number of modern data-analytic situations and statistical methods, including principal component analysis (PCA), multiclass ...
Anant Agrawal (3953690) +6 more
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Molecular Oncology, EarlyView.Here, we demonstrate that HS1BP3 interacts with Cortactin through a proline‐rich region (PRR3.1) and show that this interaction, and HS1BP3 itself, promote cancer cell proliferation and invasion. Inhibition of this interaction leads to build‐up of TKS5 in multivesicular endosomes and altered secretion of CD63 and CD9, providing an explanation for the ...
Arja Arnesen Løchen +9 more
wiley +1 more source