Results 221 to 230 of about 168,325 (294)

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

Advanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu, Rui Qiao, Ying Li, Junhong Li, Nuoya Yue, Jing Ge, Jiao Wang, Luonan Chen, Peiluan Li   +8 more
wiley   +1 more source

Integration of proxy intermediate omics traits into a nonlinear two-step model for accurate phenotypic prediction. [PDF]

Theor Appl Genet
Yoshioka H, Mary-Huard T, Aubert J, Toda Y, Ohmori Y, Yamasaki Y, Tsujimoto H, Takahashi H, Nakazono M, Takanashi H, Fujiwara T, Tsuda M, Kaga A, Inaba J, Fuji Y, Hirai MY, Nose Y, Kumaishi K, Usui E, Kobori S, Sato T, Narukawa M, Ichihashi Y, Iwata H.   +23 more
europepmc   +1 more source

Eco‐Geography Reverses Dominant AMR Reservoirs in Klebsiella pneumoniae: Integron‐Rich Mobilomes and Cross‐Niche Connectivity

Advanced Science, EarlyView.
Dominant antimicrobial resistance reservoirs in Klebsiella pneumoniae vary across eco‐geographic settings rather than following a universal pattern. Integrated One Health and global genomic analyses show that lineage structure, integron load, and cross‐niche connectivity shape whether AMR burden accumulates primarily in human or nonhuman compartments ...
Hui Lin, Biao Tang, Hao Xu, Jiajie Qian, Feifan Shi, Junhui Zhao, Xiaorui Mao, Xiaohe Hu, Ruishan Liu, Wenhong Liu, Xiawei Jiang, Beiwen Zheng, Guoping Zhao   +12 more
wiley   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

A Machine Learning Guided System for Therapeutic Decision-Making in Intra-Arterial Therapy of Hepatocellular Carcinoma. [PDF]

J Hepatocell Carcinoma
Tan L, Fan R, Zhang J, Fan H, Wu S, Li W.   +5 more
europepmc   +1 more source

Palatable‐Food–Driven Top‐Down Circuit Inhibits PVNCRF Activity to Mitigate Stress Via Peri‐PVNCRFR1 Neurons

Advanced Science, EarlyView.
Palatable food alleviates stress and prevents anxiety. This study uncovers a dedicated neural pathway: dopamine release in the PFC activates D1R neurons, whose projections to the peri‐PVN engage a population of anxiolytic CRFR1 neurons. These neurons then inhibit stress‐induced hyperactivity of PVNCRF neurons, providing a circuit‐level explanation for ...
Yuchuan Hong, Shirui Jun, Tianjiao Deng, Gaojie Shao, Dan Liu, Yi Sun, Yan Chen, Qian Xiao, Jie Shao, Sheng Wang, Tianwen Huang, Fan Yang, Jie Tu   +12 more
wiley   +1 more source

An Interpretable Machine Learning Model With Synthetic MRI-Based Habitat Radiomics for Predicting Lymph Node Metastasis in Oral Cancer. [PDF]

Cancer Med
Wang R, Ren J, Zhang Y, Shi J, Yuan Y, Tao X.   +5 more
europepmc   +1 more source

Dislocation‐Mediated Lattice Distortion and Griffiths Phase Behavior in Melt‐Spun Ni2MnSb Ribbons

Advanced Science, EarlyView.
This figure illustrates how melt‐spinning introduces dislocations into Ni2MnSb Heusler alloys. TEM images reveal local lattice distortions and associated strain fields surrounding dislocations at a representative wheel speed. As wheel speed increases, these distortions promote the formation of ferromagnetic clusters within a paramagnetic matrix ...
Kun Wang, Siying Yu, Qizhong Zhao, Jiale Guo, Minxia Fang, Yichuan Tang, Pengqaing Hu, Yin Zhang, Chao Zhou, Kaiyan Cao, Fanghua Tian, Sen Yang   +11 more
wiley   +1 more source

KG-FT-Transformer: a knowledge-guided feature tokenizer transformer for hyperspectral prediction of lettuce quality trait and fingerprint analysis. [PDF]

Food Chem X
Qiu G, Chen X, Song A, Yang S, Guo X, Zhao C.   +5 more
europepmc   +1 more source