Results 181 to 190 of about 52,284 (313)

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

An Ensemble Learning for Automatic Stroke Lesion Segmentation Using Compressive Sensing and Multi-Resolution U-Net. [PDF]

Biomimetics (Basel)
Emami M, Tinati MA, Musevi Niya J, Danishvar S.   +3 more
europepmc   +1 more source

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field [PDF]

R Pearce-Casey, B.C Nagam, de Wilde Jaap, Valerio Busillo, L. Ulivi, I.T Andika, Anna G. Manjón, L. Leuzzi, Predrag Matavulj, S. Serjeant, M. Walmsley, A. Hornstrup, C. M. O’Riordan, B. Clément, C. Tortora, T. E. Collett, F. Courbin, R. Gavazzi, R. B. Metcalf, R. Cabanac, H. M. Courtois, J. Crook-Mansour, L. Delchambre, G. Despali, L. R. Ecker, A. Franco, P. Holloway, K. Jahnke, G. Mahler, L. Marchetti, A. Melo, M. Meneghetti, O. Müller, A. A. Nucita, J. Pearson, K. Rojas, C. Scarlata, S. Schuldt, D. Sluse, S. H. Suyu, M. Vaccari, S. Vegetti, A. Verma, G. Vernardos, M. Bolzonella, M. Kluge, T. Saifollahi, M. Schirmer, C. Stone, A. Paulino-Afonso, L. Bazzanini, N. B. Hogg, L. V. E. Koopmans, S. Kruk, F. Mannucci, J. M. Bromley, A. Díaz-Sánchez, H. J. Dickinson, D. M. Powell, H. Bouy, R. Laureijs, B. Altieri, A. Amara, S. Andreon, C. Baccigalupi, M. Baldi, A. Balestra, S. Bardelli, P. Battaglia, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, A. Caillat, S. Camera, V. Capobianco, C. Carbone, J. Carretero, S. Casas, M. Castellano, G. Castignani, S. Cavuoti, A. Cimatti, C. Colodro-Conde, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, M. Cropper, A. Da Silva, H. Degaudenzi, G. De Lucia, A. M. Di Giorgio, J. Dinis, F. Dubath, X. Dupac, S. Dusini, M. Farina, S. Farrens, F. Faustini   +99 more
openalex   +1 more source

H⁺ Exchange‐Driven ppb‐Level and High‐Selective Formaldehyde Detection at Room Temperature for Environmental and Clinical Applications

Advanced Science, EarlyView.
This article presents an innovative room‐temperature formaldehyde sensor based on H⁺ exchange method, achieving ppb‐level detection limit and exceptional selectivity. The study highlights its practical potential for real‐time environmental monitoring and clinical diagnostic applications.
Lubing Cai, Mengyang Pang, Zhaosong Liu, Yanfei Li, Jiani Li, Zhaorui Zhang, Fengshuang Zheng, Chao Li, Ang Zheng, Xuemin Zhang   +9 more
wiley   +1 more source

Iterative reconstruction of industrial positron images with generative networks. [PDF]

PLoS One
Zhu M, Zhao M, Yao M.
europepmc   +1 more source

AI‐Based D‐Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug‐Resistant Bacterial Infection

Advanced Science, EarlyView.
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao, Qingzhou Kong, Haifan Gong, Lixiang Li, Jialu Fu, Boyao Wan, Peizhu Wang, Xiaojuan Li, Yue Wang, Jinghui Zhang, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +14 more
wiley   +1 more source

Liver tumor segmentation CT data based on Alexnet-like convolution neural nets

, 2016
Alexandr N. Korabelnikov, А. В. Колсанов, Sergey S. Сhaplygin, P. M. Zelter, K. Bychenkov, Артем Никоноров   +5 more
openalex   +2 more sources

DeepSat V2: feature augmented convolutional neural nets for satellite image classification [PDF]

, 2019
Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna Nemani   +6 more
openalex   +1 more source

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

Advanced Science, EarlyView.
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley   +1 more source

Matrix-based vector representations in neural networks for classifying molecular biology data. [PDF]

Bioinform Adv
Nanni L, Brahnam S, Fusaro D.
europepmc   +1 more source