Results 131 to 140 of about 3,893 (298)

Join multiple Riemannian manifold representation and multi‐kernel non‐redundancy for image clustering

CAAI Transactions on Intelligence Technology
Image clustering has received significant attention due to the growing importance of image recognition. Researchers have explored Riemannian manifold clustering, which is capable of capturing the non‐linear shapes found in real‐world datasets.
Mengyuan Zhang, Jinglei Liu
doaj   +1 more source

Inequalities for some systems of orthogonal polynomials using reproducing kernel functions

, 2015
Pavol Oršanský
openalex   +1 more source

Solving a class of variable order nonlinear fractional integral differential equations by using reproducing kernel function

, 2022
Zhiyuan Li, Mei-Chun Wang, Yulan Wang
openalex   +1 more source

The Evolutionarily Conserved TPM1 Super‐Enhancer Drives Skeletal Muscle Regeneration via Mechanotransduction Signaling

Advanced Science, EarlyView.
By integrating biomechanical and epigenetic cues, the evolutionarily conserved TPM1 super‐enhancer drives myogenesis via TEAD4‐mediated chromatin looping. This mechanism produces species‐specific outputs (linear TPM1 mRNA in mice and CircTPM1 in bovine) that activate PI3K/AKT mechanotransduction and the MYH10/MYL3 axis to execute cytoskeletal ...
Ruimen Zhang, Wanyou Feng, Yanyan Yang, Yu Pan, Chaoxia Zou, Leyi Wang, Sanbao Zhang, Yimin Zhao, Yongmei Wu, Jinling Wang, Jianwei Zou, Kehe Cen, Yongwang Zhang, Han Huang, Yurong Xu, Li Zhong, Hailong Gong, Juanru Cheng, Jingyuan Liang, Zihua Zheng, Qinyang Jiang, Jingwei Wei, Hui Li, Minhui Liang, Deshun Shi, Sufang Yang, Yanfei Deng, Yingming Wei   +27 more
wiley   +1 more source

Schur Functions, Operator Colligations, and Reproducing Kernel Pontryagin Spaces [PDF]

, 1997
Daniel Alpay, Aad Dijksma, James Rovnyak, Hendrik de Snoo   +3 more
openalex   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source

A Trypsin‐Like Serine Protease ZmNAL1a Fine‐Tunes Maize Floral Transition and Flowering Time

Advanced Science, EarlyView.
This study identifies a trypsin‐like serine protease, ZmNAL1a, that moves from leaves to the shoot apical meristem. ZmNAL1a promotes the floral transition by degrading TOPLESS‐like corepressor REL2, which thereby enhances the expression of key flowering genes through elevating histone acetylation and relieving REL2–ZmEREBP147‐mediated transcriptional ...
Nan Li, Qiang Ning, Zhen Li, Qian Zhang, Peilu Zhu, Jimin Zhan, Yunfu Li, Zhen Li, Liang Dong, Qing Xiong, Jiahao Liao, Jie Liu, David Jackson, Munenori Kitagawa, Zuxin Zhang, Lei Liu   +15 more
wiley   +1 more source

AI‐Guided SERS Defines a Pan‐Cancer Diagnostic Biomarker

Advanced Science, EarlyView.
An AI‐enabled SERS platform integrates automated exosome enrichment with molecular fingerprinting to enable accurate early detection and differential diagnosis of ten common cancers. The system identifies exosomal dATP as a universal Raman biomarker, offering a scalable, noninvasive, and clinically translatable approach for precision oncology ...
Cai Zhang, Wen‐Hui Zhao, Duo Zuo, Tianxing Zhou, Wenjing Hou, Lingwei Wang, Shangheng Shi, Yang Yang, Yuanyuan Liu, Shao‐Kai Sun, Li Ren, Zhaoxiang Ye, Dingbin Liu, Dong Li, Xiaoyuan Chen, Jihui Hao   +15 more
wiley   +1 more source

Recovery of the optimal control value function in reproducing kernel Hilbert spaces from verification conditions [PDF]

Ehring, Tobias, Azmi, Behzad, Haasdonk, Bernard   +2 more
openalex   +2 more sources

Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites

Advanced Science, EarlyView.
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou, Mingkun Lu, Zhimeng Zhou, Yanlin Ren, Xinyuan Yu, Ziqi Pan, Yuan Zhou, Hao Yang, Lingyan Zheng, Shukai Gu, Yang Zhang, Wei Hu, Fengcheng Li, Haibin Dai, Feng Zhu   +14 more
wiley   +1 more source