期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (1)
Predicting the structures of proteins from amino acid sequences is of great importance. Recently, the accuracy of de novo protein structure prediction......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (11)
Single-cell RNA sequencing (scRNA-seq) technologies are used to characterize the heterogeneity of cells in cell types, developmental stages and spatia......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (2)
Identifying novel drug-protein interactions is crucial for drug discovery. For this purpose, many machine learning-based methods have been developed b......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (4)
Single-molecule sequencing technologies have emerged in recent years and revolutionized structural variant calling, complex genome assembly and epigen......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (5)
The sudden increase in COVID-19 cases is putting high pressure on healthcare services worldwide. At this stage, fast, accurate and early clinical asse......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (5)
Deep learning has acquired considerable momentum over the past couple of years in the domain of de novo drug design. Here, we propose a simple approac......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (5)
Understanding sequential information is a fundamental task for artificial intelligence. Current neural networks attempt to learn spatial and temporal ......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (6)
A lot of scientific literature is unstructured, which makes extracting information for biomedical databases difficult. Hong and colleagues show that a......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (6)
Vascular disease is one of the leading causes of death and threatens human health worldwide. Imaging examination of vascular pathology with reduced in......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (6)
Finding an optimal set of nodes, called key players, whose activation (or removal) would maximally enhance (or degrade) a certain network functionalit......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (6)
Artificial intelligence has become a main driving force for a new round of industrial transformation around the world. Many countries including China ......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (8)
Research on DNA methylation onN(6)-adenine (6mA) in eukaryotes has received much recent attention. Recent studies have generated a large amount of 6mA......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (8)
Gene expression is regulated by a variety of mechanisms, which have been difficult to study in a unified way. The authors propose a flexible framework......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (10)
Clustering and cell type classification are important steps in single-cell RNA-seq (scRNA-seq) analysis. As more and more scRNA-seq data are becoming ......
期刊： NATURE MACHINE INTELLIGENCE, 2020; 2 (11)
Microrobots can interact intelligently with their environment and complete specific tasks by well-designed incorporation of responsive materials. Rece......
