Results 51 to 60 of about 1,958,095 (294)
, 2023 Support Matrix Machine via Joint $\ell_{2,1}$ and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted ...
Weiping Ding (721500) +3 more
core
On the Convex Geometry of Weighted Nuclear Norm Minimization
CoRR, 2016 Low-rank matrix approximation, which aims to construct a low-rank matrix from an observation, has received much attention recently. An efficient method to solve this problem is to convert the problem of rank minimization into a nuclear norm minimization problem.
openaire +2 more sources
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Denoising for Low-Dose CT Image by Discriminative Weighted Nuclear Norm Minimization
IEEE Access, 2018 Low-dose computed tomography (LDCT) is an effective approach to reduce radiation exposure to patients. Lots of mottle noise and streak artifacts, however, are introduced to the reconstructed image.
Lina Jia +7 more
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Extracting Seasonal Signals in GNSS Coordinate Time Series via Weighted Nuclear Norm Minimization
Remote Sensing, 2020 Global Navigation Satellite System (GNSS) coordinate time series contains obvious seasonal signals, which mainly manifest as a superposition of annual and semi-annual oscillations.
Baozhou Chen +4 more
doaj +1 more source
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
s-Goodness for Low-Rank Matrix Recovery
Abstract and Applied Analysis, 2013 Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statistics, computer vision, and system identification and control.
Lingchen Kong +2 more
doaj +1 more source
Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
Molecular Oncology, EarlyView.How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
Recovery of Future Data via Convolution Nuclear Norm Minimization
IEEE Transactions on Information Theory, 2023 This paper studies the problem of time series forecasting (TSF) from the perspective of compressed sensing. First of all, we convert TSF into a more inclusive problem called tensor completion with arbitrary sampling (TCAS), which is to restore a tensor from a subset of its entries sampled in an arbitrary manner. While it is known that, in the framework
Guangcan Liu, Wayne Zhang 0001
openaire +4 more sources