In this paper, a new technique coined two-dimensional principal component analysis (2DPCA)
is developed for image representation. As opposed to PCA, 2DPCA is based on 2D …

For most human complex diseases and traits, SNPs identified by genome-wide association
studies (GWAS) explain only a small fraction of the heritability. Here we report a user-friendly …

SNPs discovered by genome-wide association studies (GWASs) account for only a small
fraction of the genetic variation of complex traits in human populations. Where is the remaining …

Host-mediated lung inflammation is present 1 , and drives mortality 2 , in the critical illness
caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with …

The coacervation between soybean protein isolate (SPI) and gum Arabic (GA) for sweet orange
oil microencapsulation as functions of pH, ionic strength, SPI/GA ratio, core material load …

Recently, Convolutional Neural Network (CNN) based models have achieved great success
in Single Image Super-Resolution (SISR). Owing to the strength of deep networks, these …

In standard Convolutional Neural Networks (CNNs), the receptive fields of artificial neurons
in each layer are designed to share the same size. It is well-known in the neuroscience …

We have produced a draft sequence of the rice genome for the most widely cultivated
subspecies in China, Oryza sativa L. ssp.indica, by whole-genome shotgun sequencing. The …

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of
obesity better, here we conduct a genome-wide association study and Metabochip meta-…

Since the discovery of mechanically exfoliated graphene in 2004, research on ultrathin two-dimensional
(2D) nanomaterials has grown exponentially in the fields of condensed matter …