Results 151 to 160 of about 34,284 (266)

Predicting potential microbe-disease associations based on auto-encoder and graph convolution network. [PDF]

BMC Bioinformatics, 2023
Lu S, Liang Y, Li L, Miao R, Liao S, Zou Y, Yang C, Ouyang D.   +7 more
europepmc   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

Advanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang, Jia Wang, Zhe Wang, Liyan Zhu, Sihui Cai, Luzhi Zhan, Haorui Liang, Yaoxing Wu, Jianqiang Li, Jun Cui   +9 more
wiley   +1 more source

SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics

Advanced Science, EarlyView.
ABSTRACT Spatial transcriptomics (ST) measures gene expression while preserving spatial context within tissues. One of the key tasks in ST analysis is spatial domain detection, which remains challenging due to the complex structure of ST data and the varying performance of individual clustering methods. To address this, we propose SpatialESD, a Spatial
Hongyan Cao, Gaiqin Liu, Jingyi Xia, Runle Chen, Tong Wang, Xiaoling Yang, Ruiling Fang, Yanhong Luo, Ping Zeng, Hongmei Yu, Yanbo Zhang, Yuehua Cui   +11 more
wiley   +1 more source

Correction: Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder. [PDF]

PLoS One
Yongqiang W, Yixuan L.
europepmc   +1 more source

A Lightweight Unsupervised Intrusion Detection Model Based on Variational Auto-Encoder. [PDF]

Sensors (Basel), 2023
Ren Y, Feng K, Hu F, Chen L, Chen Y.
europepmc   +1 more source

Differential Informed Auto-Encoder

In this article, an encoder was trained to obtain the inner structure of the original data by obtain a differential equations. A decoder was trained to resample the original data domain, to generate new data that obey the differential structure of the original data using the physics-informed neural network.
openaire   +2 more sources

Hepatocyte BDNF Acts as a Novel Immune Checkpoint to Restrain TLR4‐Mediated Acute Hepatitis

Advanced Science, EarlyView.
This study identifies hepatocyte‐derived BDNF as an endogenous TLR4 antagonist that alleviates acute hepatitis. BDNF is downregulated in hepatocytes via REST‐mediated transcriptional repression during ALI/ALF. Mechanistically, BDNF binds to TLR4 on macrophages to suppress inflammation.
Weiwei Zhu, Yaqian Cui, Yongqiang Zhou, Yihui Zheng, Lijiang Huang, Leiming Jin, Qianhui Zhang, Pan Chen, Mengsha Lin, Jiaxi Ye, Yongqiang Xiong, Joo Young Huh, Xiang Hu, Xiaokun Li, Wu Luo, Guang Liang   +15 more
wiley   +1 more source

Generation of CCR4/CD7 Bispecific CAR‐T Cells Resistant to Fratricide and Exhaustion

Advanced Science, EarlyView.
The applications of CAR T‐cell therapy in T‐cell malignancies face limitations such as fratricide, effector‐cell exhaustion, and antigen‐escape. Herein, we developed fratricide‐ and exhaustion‐resistant CAR‐T cells that targeted CCR4 and CD7 simultaneously, with optional EGFRt safety switch. Additionally, scRNA‐seq unveiled new molecular targets, which
Sile Li, Yuanxin Li, Asif Rashid, Hong Kee Tan, Shing Chan, Man Yan Hui, Wilson Yau Ki Chan, Kee See Lam, Yinping Liu, Wenwei Tu, Wing Leung   +10 more
wiley   +1 more source

Mamba-AE: pixel-wise anomaly detection auto-encoder in chemical exchange saturation transfer magnetic resonance imaging. [PDF]

Quant Imaging Med Surg
Zhao Y, You Z, Chen L, Shi Z, Wang L, Zhang Y, Sun L, He X, Wang X.   +8 more
europepmc   +1 more source

Classifying marine mammals signal using cubic splines interpolation combining with triple loss variational auto-encoder. [PDF]

Sci Rep, 2023
Bach NH, Vu LH, Nguyen VD, Pham DP.
europepmc   +1 more source