Levon Demirdjian

TL;DR: This study reveals widespread cis variation in RNA editing among genetically distinct individuals and sheds light on possible phenotypic consequences of such variation on complex traits and diseases.

TL;DR: The present work adopts the peak-over-threshold method of classifying points as extreme if they exceed a pre-specified threshold, which eliminates much of the noise that was produced by the existing models due to a short data record, producing more reasonable ARI maps when compared with NOAA's long-term Climate Prediction Center ground-based observations.

TL;DR: PAIRADISE provides a useful computational tool for elucidating the genetic variation and phenotypic association of alternative splicing in populations and outperforms alternative statistical models in simulation studies.

TL;DR: Results suggest that variability in CREB signaling may influence pretreatment frequency of methamphetamine use as well as outcomes of outpatient treatment and medications targeting the CREB pathway, including phosphodiesterase inhibitors, warrant investigation as pharmacotherapies for methamphetamine use disorders.

TL;DR: In this article, the authors proposed methods for selecting smoothing parameters of kernel classifiers in the presence of missing covariates, where the missing covariate can appear in both the data and in the unclassified observation that has to be classified.