Results 191 to 200 of about 279,028 (324)

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain. [PDF]

Sensors (Basel)
Tong G, Lu X, Yang J, Yu W, Gu H, Su W.
europepmc   +1 more source

Iteratively reweighted two-stage LASSO for block-sparse signal recovery under finite-alphabet constraints

, 2018
Malek Messai, Abdeldjalil Aïssa El Bey, Karine Amis, Frédéric Guilloud   +3 more
openalex   +2 more sources

K-median clustering, model-based compressive sensing, and sparse recovery for earth mover distance [PDF]

, 2011
Piotr Indyk, Eric Price
openalex   +1 more source

Real‐Time and High‐Resolution NIR‐II‐L Imaging of Netrin‐1‐Mediated Neurovascular Coupling Driven by Dose‐Dependent Electroacupuncture

Advanced Science, EarlyView.
Disrupted neurovascular coupling contributes to ovarian dysfunction in polycystic ovary syndrome. Using near‑infrared II long‑wavelength imaging, this study visualizes how electroacupuncture dynamically regulates ovarian blood vessels in vivo. Immediate and cumulative stimulation elicit distinct vascular responses via a Netrin‐1 dependent mechanism ...
Yicong Wang, Zi‐Han Chen, Jiajia Li, Wei Hu, Ying Cao, Yu Wang, Xiaoyu Tong, Wenhan Lu, Yuze Yang, Yuehao Wang, Yan Xiao, Wenhao Gao, Yuning Chen, Yuyan Hou, Fan Zhang, Yi Feng   +15 more
wiley   +1 more source

Compressed Sensing/Sparse-Recovery Approach for Improved Range Resolution in Narrow-Band Radar. [PDF]

ScientificWorldJournal, 2016
Costanzo S.
europepmc   +1 more source

Fiber orientation distribution function from non-negative sparse recovery with quantitative analysis of local fiber orientations and tractography using DW-MRI datasets

, 2018
Thinhinane Megherbi, Gabriel Girard, Aurobrata Ghosh, Fatima Oulebsir-Boumghar, Rachid Deriche   +4 more
openalex   +2 more sources

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

Advanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang, Jia Wang, Zhe Wang, Liyan Zhu, Sihui Cai, Luzhi Zhan, Haorui Liang, Yaoxing Wu, Jianqiang Li, Jun Cui   +9 more
wiley   +1 more source

Sparse Recovery over Graph Incidence Matrices [PDF]

, 2018
Mengnan Zhao, M. Devrim Kaba, Rene Vidal, Daniel P. Robinson, Enrique Mallada   +4 more
openalex   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source