Tianwei Yu

TL;DR: A statistical framework to simultaneously dissect copy number states and genotypes using high-density SNP (single nucleotide polymorphism) arrays is proposed, which can successfully identify both types of copy number differences and produce high-quality genotype calls.

TL;DR: A newly developed classifier named Forest Deep Neural Network (fDNN), to integrate the deep neural network architecture with a supervised forest feature detector, which is able to learn sparse feature representations and feed the representations into a neural network to mitigate the overfitting problem.

TL;DR: The current findings provide support for the use of untargeted HRM in the development of metabolic biomarkers of traffic pollution exposure and response and identify and verified biological perturbations associated with primary traffic pollutant in panel-based setting with repeated measurement.

TL;DR: Oral fluid contains proteomic signatures that may serve as biomarkers for human diseases such as oral cancer, and once discovered and validated on a large and independent clinical cohort, oral fluid proteomic biomarkers may be extensively used for future disease diagnosis.

TL;DR: The replicative capacity (RC) of Gag-MJ4 chimeras correlated significantly with the rate of CD4+ T cell decline over the first 3 years of infection in a manner that is partially independent of VL, suggesting that the replication capacity of HIV-1 during the earliest stages of infection is a determinant of pathogenesis beyond what might be expected based on set point VL alone.