Results 211 to 220 of about 2,740,047 (370)

Unsupervised Domain Adaptation with Contrastive Learning-Based Discriminative Feature Augmentation for RS Image Classification [PDF]

Ren Xu, Alim Samat, Enzhao Zhu, Erzhu Li, Wei Li   +4 more
openalex   +1 more source

Conversion of Transplanted Mature Hepatocytes into Afp+ Reprogrammed Cells for Liver Regeneration After Injury

Advanced Science, EarlyView.
Donor‐derived tdTomato+ mature hepatocytes were FACS‐isolated and transplanted into Fah−/− host mice. During regeneration, these cells convert into proliferative, unipotent Afp+ rHeps. Their plasticity is governed by a PPARγ/AFP‐dependent metabolic switch, segregating into pro‐proliferative Afplow and pro‐survival Afphigh subpopulations.
Ting Fang, Chao Yang, Hua Qiu, Yuan Du, Xicheng Wang, Yuting Li, Mingyang Xu, Changcheng Liu, Xiuhua Li, Na Guo, Jun Shi, Wencheng Zhang, Zhiying He   +12 more
wiley   +1 more source

Unsupervised classification of brain-wide axons reveals the presubiculum neuronal projection blueprint. [PDF]

Nat Commun
Wheeler DW, Banduri S, Sankararaman S, Vinay S, Ascoli GA.   +4 more
europepmc   +1 more source

Unsupervised classification of SARS-CoV-2 genomic sequences uncovers hidden genetic diversity and suggests an efficient strategy for genomic surveillance

, 2021
Chiara M, Horner DS, Ferrandi E, Gissi C, Pesole G.   +4 more
europepmc   +1 more source

Automated glioblastoma segmentation based on a multiparametric structured unsupervised classification. [PDF]

PLoS One, 2015
Juan-Albarracín J, Fuster-Garcia E, Manjón JV, Robles M, Aparici F, Martí-Bonmatí L, García-Gómez JM.   +6 more
europepmc   +1 more source

Mitochondrial CircRNA CircMT‐RNR2 Safeguards Antioxidant Defense to Support Fibroblast Functions in Wound Repair

Advanced Science, EarlyView.
CircMT‐RNR2 promotes wound healing by enhancing fibroblast proliferation, migration, contraction, and extracellular matrix (ECM) production. It sustains mitochondrial redox balance by stabilizing the antioxidant protein PRDX3, thereby reducing ROS‐induced damage. In diabetic foot ulcers, hypoxia, hyperglycemia, and reduced FGF2 and EGF expression lower
Guanglin Niu, Jennifer Geara, Yongjian Chen, Lihua Luo, Yanwei Xiao, Zhuang Liu, Margaux Gaborieau, Ling Pan, Edmund Loh, Dongqing Li, Pehr Sommar, Aoxue Wang, Xiaowei Zheng, Ning Xu Landén   +13 more
wiley   +1 more source

Gini Coefficient-Based Feature Learning for Unsupervised Cross-Domain Classification with Compact Polarimetric SAR Data

Xianyu Guo, Junjun Yin, Kun Li, Jian Yang   +3 more
openalex   +1 more source

Comparative Single‐Cell Transcriptomic Atlas Reveals the Genetic Regulation of Reproductive Traits

Advanced Science, EarlyView.
A cross‐species single‐cell transcriptomic atlas of reproductive and central nervous system tissues from sheep and humans reveals conserved cellular programs and regulatory networks that regulated fertility. Integration with GWAS for sheep lifetime average litter size identifies UNC5–SLIT–BMP signaling as a core pathway coordinating neuroendocrine ...
Bingru Zhao, Hanpeng Luo, Dailu Guan, Xuefeng Fu, Feng Wang, Guoming Zhang, Shanglai Li, Hua Yang, Yanli Zhang   +8 more
wiley   +1 more source

MR‐DELTAnet: A Longitudinal MRI‐Transformer Model Predicting Pathological Complete Response and Revealing Immune Microenvironment via scRNA‐seq in Locally Advanced Rectal Cancer

Advanced Science, EarlyView.
The MR‐DELTAnet model utilizes longitudinal MRI to predict treatment response after neoadjuvant chemoradiotherapy in locally rectal cancer patients, accurately identifying patients likely to achieve pathological complete response for personalized management.
Wuteng Cao, Huaxian Chen, Jiao Li, Yihui Zheng, Liqing Xie, Guozhong Xiao, Zeyan Wang, Fen Yuan, Junhong Chen, Chongbao Sun, Jing Dai, Jinping Zeng, Xinhua Wang, Lei Wu, Hongcheng Lin   +14 more
wiley   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source