MGFmiRNAloc:predicting miRNA Subcellular Localization Using Molecular Graph Feature and Convolutional Block Attention Module [0.03%]
基于分子图特征和卷积块注意模块的miRNA亚细胞定位预测模型
Ying Liang,Xiya You,Zequn Zhang et al.
Ying Liang et al.
MiRNA has distinct physiological functions at various cellular locations. However, few effective computational methods for predicting the subcellular location of miRNA exist, thereby leaving considerable room for improvement. Accordingly, o...
Exploring the Knowledge of An Outstanding Protein to Protein Interaction Transformer [0.03%]
探索一种卓越的蛋白质相互作用Transformer模型的知识
Sen Yang,Peng Cheng,Lingli Ju et al.
Sen Yang et al.
Protein-to-protein interaction (PPI) prediction aims to predict whether two given proteins interact or not. Compared with traditional experimental methods of high cost and low efficiency, the current deep learning based approach makes it po...
A Novel Method for Targeted Identification of Essential Proteins by Integrating Chemical Reaction Optimization and Naive Bayes Model [0.03%]
一种新的目标必需蛋白质鉴定方法：结合化学反应优化和朴素贝叶斯模型
Wenya Yang,Sai Zou,Hongfeng Gao et al.
Wenya Yang et al.
Targeted identification of essential proteins is of great significance for species identification, drug manufacturing, and disease treatment. It is a challenge to analyze the binding mechanism between essential proteins and improve the iden...
Deep Spatio-Temporal Network for Low SNR Cryo-EM Movie Frame Enhancement [0.03%]
低信噪比冷冻电子显微镜电影帧增强的深度时空网络
Xiaoya Chong,Howard Leung,Qing Li et al.
Xiaoya Chong et al.
Cryo-EM in single particle analysis is known to have low SNR and requires to utilize several frames of the same particle sample to restore one high-quality image for visualizing that particle. However, the low SNR of cryo-EM movie and motio...
Feature Fusion GAN Based Virtual Staining on Plant Microscopy Images [0.03%]
基于特征融合的生成对抗网络在植物显微图像虚拟染色上的应用研究
Sumona Biswas,Shovan Barma
Sumona Biswas
Virtual staining of microscopy specimens using GAN-based methods could resolve critical concerns of manual staining process as displayed in recent studies on histopathology images. However, most of these works use basic-GAN framework ignori...
Shan Zhang,Yuan Zhou,Pei Geng et al.
Shan Zhang et al.
Artificial intelligence (AI) is a thriving research field with many successful applications in areas such as computer vision and speech recognition. Machine learning methods, such as artificial neural networks (ANN), play a central role in ...
TDFFM: Transformer and Deep Forest Fusion Model for Predicting Coronavirus 3C-Like Protease Cleavage Sites [0.03%]
基于Transformer和深度森林融合模型的冠状病毒3CL蛋白酶切割位点预测方法
Qingsong Wang,Ruiquan Ge,Changmiao Wang et al.
Qingsong Wang et al.
COVID-19, caused by the highly contagious SARS-CoV-2 virus, is distinguished by its positive-sense, single-stranded RNA genome. A thorough understanding of SARS-CoV-2 pathogenesis is crucial for halting its proliferation. Notably, the 3C- l...
The Delfos Platform: A Conceptual Model-Based Solution for the Enhancement of Precision Medicine [0.03%]
德尔福斯平台：增强精准医学的概念模型式解决方案
Ana Leon,Alberto Garcia S,Jose Fabian Reyes Roman et al.
Ana Leon et al.
The use in the clinical practice of the vast amount of genomic data generated by current sequencing technologies constitutes a bottleneck for the progress of Precision Medicine (PM). Various problems inherent to the genomics domain (i.e., d...
FluPMT: Prediction of Predominant Strains of Influenza A Viruses Via Multi-task Learning [0.03%]
基于多任务学习的甲型流感病毒优势株预测方法研究
Changfeng Cai,Jianghui Li,Yuanling Xia et al.
Changfeng Cai et al.
Seasonal influenza vaccines play a crucial role in saving numerous lives annually. However, the constant evolution of the influenza A virus necessitates frequent vaccine updates to ensure its ongoing effectiveness. The decision to develop a...
Network Modeling and Control of Dynamic Disease Pathways, Review and Perspectives [0.03%]
动态疾病途径的网络模型与控制研究和展望
Yen-Che Hsiao,Abhishek Dutta
Yen-Che Hsiao
Dynamic disease pathways are a combination of complex dynamical processes among bio-molecules in a cell that leads to diseases. Network modeling of disease pathways considers disease-related bio-molecules (e.g. DNA, RNA, transcription facto...