Deciphering the interplay between biology and physics with a finite element method-implemented vertex organoid model: A tool for the mechanical analysis of cell behavior on a spherical organoid shell [0.03%]
基于有限元方法实现的顶点器官体模型阐明生物学与物理学之间的相互作用：一种分析细胞在球形器官壳上的机械行为的工具
Julien Laussu,Deborah Michel,Léa Magne et al.
Julien Laussu et al.
Understanding the interplay between biology and mechanics in tissue architecture is challenging, particularly in terms of 3D tissue organization. Addressing this challenge requires a biological model enabling observations at multiple levels...
A robust transfer learning approach for high-dimensional linear regression to support integration of multi-source gene expression data [0.03%]
一种用于高维线性回归的稳健迁移学习方法，可支持多源基因表达数据集成
Lulu Pan,Qian Gao,Kecheng Wei et al.
Lulu Pan et al.
Transfer learning aims to integrate useful information from multi-source datasets to improve the learning performance of target data. This can be effectively applied in genomics when we learn the gene associations in a target tissue, and da...
The role of chromatin state in intron retention: A case study in leveraging large scale deep learning models [0.03%]
染色质状态在内含子保留中的作用：一个利用大规模深度学习模型的案例研究
Ahmed Daoud,Asa Ben-Hur
Ahmed Daoud
Complex deep learning models trained on very large datasets have become key enabling tools for current research in natural language processing and computer vision. By providing pre-trained models that can be fine-tuned for specific applicat...
Ismael Kherroubi Garcia,Christopher Erdmann,Sandra Gesing et al.
Ismael Kherroubi Garcia et al.
Computational models are complex scientific constructs that have become essential for us to better understand the world. Many models are valuable for peers within and beyond disciplinary boundaries. However, there are no widely agreed-upon ...
Prediction of cccDNA dynamics in hepatitis B patients by a combination of serum surrogate markers [0.03%]
联合血液标志物预测乙肝患者cccDNA动力学变化
Kwang Su Kim,Masashi Iwamoto,Kosaku Kitagawa et al.
Kwang Su Kim et al.
Quantification of intrahepatic covalently closed circular DNA (cccDNA) is a key for evaluating an elimination of hepatitis B virus (HBV) in infected patients. However, quantifying cccDNA requires invasive methods such as a liver biopsy, whi...
Eight quick tips for biologically and medically informed machine learning [0.03%]
八个关于生物和医学的机器学习快速入门小贴士
Luca Oneto,Davide Chicco
Luca Oneto
Machine learning has become a powerful tool for computational analysis in the biomedical sciences, with its effectiveness significantly enhanced by integrating domain-specific knowledge. This integration has give rise to informed machine le...
Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model [0.03%]
基于时空图神经网络和动态模型的多区域传染病预测建模
Xiaoyi Wang,Zhen Jin
Xiaoyi Wang
Human mobility between different regions is a major factor in large-scale outbreaks of infectious diseases. Deep learning models incorporating infectious disease transmission dynamics for predicting the spread of multi-regional outbreaks du...
Fast yet force-effective mode of supracellular collective cell migration due to extracellular force transmission [0.03%]
基于细胞外力传递的高效集体细胞迁移模式研究
Amrit Bagchi,Bapi Sarker,Jialiang Zhang et al.
Amrit Bagchi et al.
Cell collectives, like other motile entities, generate and use forces to move forward. Here, we ask whether environmental configurations alter this proportional force-speed relationship, since aligned extracellular matrix fibers are known t...
Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction [0.03%]
深度学习方法预测三级RNA结构的系统基准测试
Akash Bahai,Chee Keong Kwoh,Yuguang Mu et al.
Akash Bahai et al.
The 3D structure of RNA critically influences its functionality, and understanding this structure is vital for deciphering RNA biology. Experimental methods for determining RNA structures are labour-intensive, expensive, and time-consuming....
Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper [0.03%]
运用基因组数据和机器学习预测抗生素抗性：教学性论文
Faye Orcales,Lucy Moctezuma Tan,Meris Johnson-Hagler et al.
Faye Orcales et al.
Antibiotic resistance is a global public health concern. Bacteria have evolved resistance to most antibiotics, which means that for any given bacterial infection, the bacteria may be resistant to one or several antibiotics. It has been sugg...