Results 151 to 160 of about 537,310 (265)

A knowledge graph representation learning approach to predict novel kinase-substrate interactions. [PDF]

Mol Omics, 2022
Gavali S, Ross K, Chen C, Cowart J, Wu CH.   +4 more
europepmc   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

OFGPMA: Optimal frequency graph representation learning for pseudogene and miRNA association prediction. [PDF]

Front Genet
Zeng Y, Xiong L, Luo Y.
europepmc   +1 more source

iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network. [PDF]

Bioinformatics, 2023
Zhao BW, Su XR, Hu PW, Huang YA, You ZH, Hu L.   +5 more
europepmc   +1 more source

Highlighting Recent Progress in Fiber Energy Harvesters: From Working Principles to Future Perspectives

Advanced Science, EarlyView.
Fiber energy harvesters offer unprecedented flexibility and a unique capacity for integration into commercial textiles, overcoming the limitations of bulky and rigid conventional devices. This review summarizes recent advances in fiber‐based energy harvesting and provides strategic outlooks to accelerate technological progress in the field. ABSTRACT As
Hanhwi Jang, Junseong Ahn, Yongrok Jeong, Sohee Jeon, Soon Hyoung Hwang, Min‐Wook Oh, Jun‐Ho Jeong, Inkyu Park, Yeon Sik Jung   +8 more
wiley   +1 more source

Characterization of the heterogeneity in SARS-CoV-2 fitness dynamics via graph representation learning. [PDF]

PLoS Comput Biol
Wang Z, Zhou Z, Wang J, Yang L, Zhang Z, Xu W, Liu Z, Ge Y, Yang L, Wang X, Yang P, Wang Q, Cao Y, Guo Y, Tian H.   +14 more
europepmc   +1 more source

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. [PDF]

PLoS Comput Biol, 2023
Duan Z, Dai Y, Hwang A, Lee C, Xie K, Xiao C, Xu M, Girgenti MJ, Zhang J.   +8 more
europepmc   +1 more source

PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC

Advanced Science, EarlyView.
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao, Qinyuan Liu, Zhongwei Xin, Zhiyao Zhou, Mingjie Lin, Di Chen, Zhixing Hao, Yongyuan Chen, Wenxuan Wu, Shuyang Zhang, Xiaoke Chen, Xia Xu, Jinfan Li, Wei Lin, Yuhao Lu, Dang Wu, Pin Wu   +16 more
wiley   +1 more source

Graph representation learning via enhanced GNNs and transformers. [PDF]

Sci Rep
Mu H, Zhou C, Yu Q, Mu Q.
europepmc   +1 more source

Signed graph representation learning for functional-to-structural brain network mapping. [PDF]

Med Image Anal, 2023
Tang H, Guo L, Fu X, Wang Y, Mackin S, Ajilore O, Leow AD, Thompson PM, Huang H, Zhan L.   +9 more
europepmc   +1 more source