Results 121 to 130 of about 17,887 (258)

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

COMPUTER MODELS OF SUDAN AND GURUSWAMI'S LIST DECODERS FOR GENERALIZED REED-SOLOMON CODES AND CONCATENATED CODES

Вестник Донского государственного технического университета, 2018
Problem of computer model development of Sudan and Guruswami's list decoders for generalized Reed-Solomon codes and concatenated codes is solved. Strict algorithm of list decoding of concatenated codes is given.
V.V. MKRTICHAN
doaj  

Nucleoside‐Modified mRNA Encoding Alpha‐Galactosidase A Ameliorates Fabry Disease Phenotypes in Human IPSC‐Derived Cardiomyocytes

Advanced Science, EarlyView.
Human iPSC‐derived Fabry cardiomyocytes exhibited broad transcriptional dysregulation, apoptosis, mitochondrial dysfunction, impaired reactive oxygen species handling, altered contractility, and abnormal calcium transient decay, potentially mediated by phospholamban hyperphosphorylation.
Malte Juchem, Lea Oehlsen, Sedef Ersoy, Jia Li Ye, Natalie Weber, Elisa Mohr, Wilson Agyapong, Junqing Liu, Maximilian Fuchs, Ke Xiao, Christopher Jahn, Reto Eggenschwiler, Tobias Cantz, Julia Beimdiek, Falk F. R. Buettner, Theresia Kraft, Jan Hegermann, Ivonne J. Knorr, Lisa Ernst, Linda Feldbrügge, Resa Puffert, Kevin Schmidt, Christian Bär, Jeannine Hoepfner, Thomas Thum   +24 more
wiley   +1 more source

COMPUTER MODELS OF SUDAN AND GURUSWAMI'S LIST DECODERS FOR GENERALIZED REED-SOLOMON CODES AND CONCATENATED CODES

Advanced Engineering Research, 2007
Problem of computer model development of Sudan and Guruswami's list decoders for generalized Reed-Solomon codes and concatenated codes is solved. Strict algorithm of list decoding of concatenated codes is given.
V.V. MKRTICHAN
doaj  

BOULE is Essential for the Dynamic Disassembly of Heat Shock Granules in Male Germ Cells

Advanced Science, EarlyView.
BOULE orchestrates stress granule disassembly in germ cells via a two‐pronged mechanism: it promotes G3BP1 ubiquitination by upregulating TRIM27, generating a signal for VCP/FAF2 recruitment, and it maintains G3BP1 and FAF2 protein levels. BOULE deficiency disrupts disassembly complex formation, leading to impaired heat shock granule clearance ...
Xin Li, Nana Zhang, Zexin Bian, Baobao Geng, Liyun Cao, Peipei Liu, Zengming Li, Yan Zhao, Jun Tan   +8 more
wiley   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

Advanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang, Songming Zhang, Xiaofeng Chen, Xiongtao Xiao, Wenming Cao, Weikai Li, Tong Zhao, Bing Li, Xinyue Xu, Zhongshan Li   +9 more
wiley   +1 more source

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source