Results 101 to 110 of about 30,188 (287)

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

A novel receiver for uplink SCMA system

Dianxin kexue, 2017
Sparse code multiple access (SCMA) is a type of code domain non-orthogonal multiple access technology,which is regarded as a promising multiple access technology for 5G due to its excellent performance.The uplink SCMA system generally uses a message ...
Hongyang ZHANG, Changliang ZHENG, Genfu SHAO, Huaping LIU   +3 more
doaj   +2 more sources

Enzymatic Remodelling of Tumour Microenvironment Enhances Anti‐CEACAM5 CAR T‐Cell Efficacy Against Colorectal Cancer

Advanced Science, EarlyView.
This study shows anti‐CEACAM5 CAR T‐cells are ineffective against colorectal cancer (CRC) because of CEACAM5 sequestration at intercellular junctions and the thick tumour cell glycocalyx. Enzymatic treatments of CRC cell monolayer/tissue section with trypsin or hyaluronidase restore CEACAM5 availability, enhance CAR T‐cell activation, increase ...
Debasis Banik, Christopher J. Ward, Soura Chakraborty, Ziwei Zhang, Daniel Heraghty, Prasanna Suresh, Bing Li, Shekhar Kedia, Jhuma Pramanik, Simon J. Davis, James P. Roy, Michael A. Chapman, Bidesh Mahata, David Klenerman   +13 more
wiley   +1 more source

IGZO‐Based First Spike Timing Tactile Encoders and Coupling‐Enhanced Transistor Synapses for Efficient Spiking Neural Networks

Advanced Science, EarlyView.
Here, a bioinspired light‐accelerated neuromorphic system that seamlessly links tactile sensing, first‐spike‐timing (FST) encoding, and light–electric synaptic learning. Pressure stimuli trigger FST spikes in dual‐gate PDTFTs, while GaOx/IGZO hetero‐synapses exhibit enhanced memory under optical–electrical co‐activation, enabling spiking neural ...
Dan Cai, Jinyong Wang, Tianchen Zhao, Miao Shen, Yunbo Liu, Tieyi Zhang, Fangjie Zhang, Yang Wang, Yadong Jiang, Deen Gu   +9 more
wiley   +1 more source

Correlative Imaging Platform Linking Taste Cell Function to Molecular Identity

Advanced Science, EarlyView.
A correlative imaging platform is developed to study how individual taste cells respond to different taste qualities. By linking cellular activity with molecular identity and environmental context, dual‐tuned taste cells capable of detecting both sweet and umami stimuli are identified.
Sungho Lee, Minjae Kim, Gha Yeon Park, Jubeen Yoon, Kunyoo Shin, Chang Ho Sohn, Myunghwan Choi   +6 more
wiley   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

Wavelet-Transform-Based Sparse Code Multiple Access for Power Line Communication [PDF]

, 2022
Muhammad Sajid Sarwar, Sobia Baig, Hafiz M. Asif, Kaamran Raahemifar, Samir Al‐Busaidi   +4 more
openalex   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Two stage beamforming and combining scheme for FDD massive MIMO systems with multi‐antenna users

IET Communications
This paper proposes a two‐stage beamforming and combining scheme in frequency division duplex (FDD) massive multiple‐input multiple‐output (MIMO) systems with multi‐antenna users.
Wu Zheng, Chen Liu, Yunchao Song, Tianbao Gao   +3 more
doaj   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
wiley   +1 more source