Results 231 to 240 of about 2,344,066 (336)

Confidence Bands for ROC Curves With Serially Dependent Data

, 2018
Kajal Lahiri, Liu Yang
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

Is the area under an ROC curve a valid measure of the performance of a screening or diagnostic test?

Journal of Medical Screening, 2014
N. Wald, JP Bestwick
semanticscholar   +1 more source

Magnetoelectric Nanotherapy Achieves Complete Tumor Ablation and Prolonged Survival in Pancreatic Cancer Murine Models

Advanced Science, EarlyView.
Magnetoelectric nanoparticles (MENPs) serve as externally controlled, MRI‐activated theranostic agents for targeted cancer therapy by inducing electric field‐based ablation in solid tumors. MENPs enable simultaneous precise tumor ablation and MRI signal modulation, allowing real‐time treatment monitoring and prediction of therapeutic outcomes with no ...
John Michael Bryant, Max Shotbolt, Emmanuel Stimphil, Victoria Andre, Elric Zhang, Veronica Estrella, Kazim Husain, Joseph Weygand, Doug Marchion, Alex Sebastian Lopez, Dominique Abrahams, Shawnus Chen, Mostafa Abdel‐Mottaleb, Skye Conlan, Ibrahim Oraiqat, Vaseem Khatri, Jose Alejandro Guevara, Shari Pilon‐Thomas, Gage Redler, Kujtim Latifi, Natarajan Raghunand, Kosj Yamoah, Sarah Hoffe, James Costello, Jessica M. Frakes, Ping Liang, Robert A. Gatenby, Mokenge Malafa, Sakhrat Khizroev   +28 more
wiley   +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

The ROC curves obtained by the DNABERT2-enhancer on Liu’s training dataset (layer 2).

Tong Wang (87696), Mengqi Gao (4965808)
openalex   +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

Receiver operating characteristic (ROC) curves were used to evaluate the top 5 EP-DEGs with the most occurrence in different algorithms.

Shasha He (833918), Han Nie (1457770), Xiangbao Yin (13115502), Zhiwei Zhong (1499230)   +3 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source