Results 61 to 70 of about 48,878 (307)
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
Approach to weak signal extraction and detection via sparse representation
Tongxin xuebao, 2015 The sparsity models and their popular evaluation algorithms were presented.A sparse representation based approach to weak signal extraction and detection was proposed.Furthermore,a fast algorithm was developed to reduce the computational complexity of ...
Ya-fei TANG, Yun-yong ZHANG, Zhi-bin GUO
doaj +2 more sources
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
Color Image Super-resolution Reconstruction Based on Color Constraint and Nonlocal Sparse Representation [PDF]
Jisuanji gongcheng, 2019 Color image super-resolution reconstruction method based on sparse representation model usually adopts sparse coding process based on image blocks,which easily leads to the instability of sparse representation,and the problems of detail blurring and ...
XU Zhigang, MA Qiang, ZHU Honglei, ZHANG Moyi
doaj +1 more source
Wavelet Based Dictionaries for Dimensionality Reduction of ECG Signals [PDF]
, 2019 Dimensionality reduction of ECG signals is considered within the framework of sparse representation. The approach constructs the signal model by selecting elementary components from a redundant dictionary via a greedy strategy.
Rebollo-Neira, Laura, Cerna, Dana
core +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
OTFS Channel Estimation Based on Sparse Bayesian Learning
Shanghai Jiaotong Daxue xuebaoThe acquisition of channel state information (CSI) has a significant impact on the performance of orthogonal time frequency space (OTFS) modulated communication systems.
SUN Fujun, MA Ming, FU Haijun, DAI Jisheng
doaj +1 more source
Energy Efficient GNSS Signal Acquisition Using Singular Value Decomposition (SVD)
Sensors, 2018 A significant challenge in global navigation satellite system (GNSS) signal processing is a requirement for a very high sampling rate. The recently-emerging compressed sensing (CS) theory makes processing GNSS signals at a low sampling rate possible if ...
Juan Carlos Bermúdez Ordoñez +2 more
doaj +1 more source
Advances in Mechanical Engineering, 2023 Mechanical equipment often works on variable speed condition, its corresponding vibration signal presents multi-component, modulation coupling with fast time-varying instantaneous frequency (IF), how to effectively compute IF and realize fasting varying ...
Lu Yan +7 more
doaj +1 more source
Accelerated Dictionary Learning for Sparse Signal Representation
, 2017 Learning sparsifying dictionaries from a set of training signals has been shown to have much better performance than pre-designed dictionaries in many signal processing tasks, including image enhancement. To this aim, numerous practical dictionary learning (DL) algorithms have been proposed over the last decade.
Ghayem, Fateme +3 more
openaire +2 more sources