The first step towards realizing personalized healthcare is to catalog the genetic variations
in a population. Since the dissemination of individual-level genomic information is strictly …

Deep learning algorithms have been successfully used in medical image classification. In
the next stage, the technology of acquiring explainable knowledge from medical images is …

Recently, Wu and colleagues [1] proposed two novel statistics for genome-wide interaction
analysis using case/control or case-only data. In computer simulations, their proposed case/…

In the Brassicaceae, intraspecific non-self pollen (compatible pollen) can germinate and grow
into stigmatic papilla cells, while self-pollen or interspecific pollen is rejected at this stage. …

Charcot-Marie-Tooth disease (CMT) is the most common inherited neuropathy characterized
by clinical and genetic heterogeneity. Although more than 30 loci harboring CMT-causing …

To solve major limitations in algorithms for the metabolite-based prediction of psychiatric
phenotypes, a novel prediction model for depressive symptoms based on nonlinear feature …

Autism spectrum disorder (ASD) has phenotypically and genetically heterogeneous characteristics.
A simulation study demonstrated that attempts to categorize patients with a complex …

This paper develops smooth-threshold estimating equations that can automatically eliminate
irrelevant parameters by setting them as zero. The resulting estimator enjoys the oracle …

Large-scale, sometimes nationwide, prospective genomic cohorts biobanking rich biological
specimens such as blood, urine and tissues, have been established and released their vast …

The accuracy of previous genetic studies in predicting polygenic psychiatric phenotypes has
been limited mainly due to the limited power in distinguishing truly susceptible variants from …