Results 161 to 170 of about 3,494,638 (328)

Allelic Variation in Maize Malate Dehydrogenase 7 Shapes Promoter Methylation and Banded Leaf and Sheath Blight Resistance

Advanced Science, EarlyView.
In this study maize chloroplastic malate dehydrogenase7 (ZmMDH7), is identified as a Rhizoctonia solani resistance gene in maize. ZmMDH7 is regulated by transcription factor ZmWRKY44 via pathogens challenge to elevate mitochondrial ROS and SA signaling pathway.
Luyang Wei, Junbin Chen, Chuang Liu, DanDan Liu, Meida Du, Shengfeng He, Wenyu Cheng, Vijai Bhadauria, You‐Liang Peng, Wangsheng Zhu   +9 more
wiley   +1 more source

Inhibition of SLC11A1‐Mediated Lysosomal Iron Accumulation in Microglia Promotes Repair Following White Matter Stroke

Advanced Science, EarlyView.
Genetic and pharmacological inhibition of SLC11A1 functioning as an H+/Fe2+ antiporter–mediated lysosomal iron accumulation in microglia promotes lysosomal lumen acidification, increases CTSD expression, enhances lysosomal myelin debris uptake and degradation, and promotes repair following white matter stroke. ABSTRACT White matter stroke (WMS) results
Lingling Qiu, Yajie Zhang, Yushi Tang, Hongli Hu, Ying Zhang, Junwen Xue, Hao Wang, Yecheng Wang, Chunfeng Liu, Jia Jia, Jian Cheng, Yongjun Cao   +11 more
wiley   +1 more source

Optimizing Supernova Classification: A Metric-Aware Approach with PR-AUC and F1-score

Photometric classification of Type Ia supernovae (SNe Ia) is essential for cosmological studies but remains challenging due to severe class imbalance and observational noise. While recent studies have explored deep learning models, these approaches are often resource-intensive and complex to interpret.This study aims to develop a computationally ...
openaire   +1 more source

An Opto‐Actuated Hydrogel for Cell Mechanoactuation and Real‐Time Force Monitoring

Advanced Science, EarlyView.
Researchers developed a mechanoactuated hydrogel interface where nanomachines exert forces on adhesion receptors and allow monitoring of traction force responses in real time. They demonstrate reversible talin recruitment, enhanced F‐actin polymerization, and a reduction in cell traction force when force is locally applied to focal adhesions of ...
Rinku Kumar, Marc A. Fernandez‐Yague, Adrien Bessaguet, Hosoowi Lee, Nicolas Giuseppone, Andrés J. García, Aránzazu del Campo   +6 more
wiley   +1 more source

Modulating Purothionin Accumulation and Signal Peptide Cleavage Fine‐Tunes Wheat Flour Gluten Properties to Improve Cookie‐Making Quality

Advanced Science, EarlyView.
Dual genetic strategies for improving wheat processing quality by regulating purothionin accumulation to modulate gluten quantity and quality. The first strategy involves targeting signal peptide (SP) cleavage sites (e.g., through mutation) to indirectly reduce gluten content, thereby disrupting gluten network formation.
Yijie Liu, Siyuan Chang, Zhaoheng Zhang, Tianqi Kang, Mingde Liu, Yuan Zong, Fei Ni, Yinguang Bao, Ruijie Zhang, Xiaobang Zhang, Jinkun Du, Mingming Xin, Zhaorong Hu, Jie Liu, Zhongfu Ni, Qixin Sun, Yingyin Yao   +16 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

F1-score of models under different numbers of triples.

Zhihao Zong (21680885), Hongtao Shan (17069603), Gaoyu Zhang (13039090), George Xianzhi Yuan (21680888), Shuyi Zhang (34553)   +4 more
openalex   +1 more source

Enhancing Heart Disease Prediction Using CardiAI: With Key Performance Metrics Accuracy, Precision, Recall and F1-Score

International Journal of Intelligent Systems and Applications in Engineering
In this study, we introduce CardiAI, a pioneering deep learning algorithm meticulously crafted for precise heart disease prediction. Unlike existing models, CardiAI's innovation lies in its intricate architecture, integrating strategic dropout layers, early stopping mechanisms, and sophisticated techniques to mitigate overfitting.
Mulaguri, Asish Tony, Katta, Sai Krishna, Karanam, Venkata Kousik, Pachipala, Yellamma, Narisety, Sriyaa   +4 more
openaire   +1 more source

Piscis: a novel loss estimator of the F1 score enables accurate spot detection in fluorescence microscopy images via deep learning

AbstractSingle-molecule RNA fluorescencein situhybridization (RNA FISH)-based spatial transcriptomics methods have enabled the accurate quantification of gene expression at single-cell resolution by visualizing transcripts as diffraction-limited spots.
Zijian Niu, Aoife O’Farrell, Jingxin Li, Sam Reffsin, Naveen Jain, Ian Dardani, Yogesh Goyal, Arjun Raj   +7 more
openaire   +2 more sources