Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Tumor genome sequencing leads to documenting thousands of DNA mutations and other
genomic alterations. At present, these data cannot be analyzed adequately to aid in the …

Some long noncoding RNAs (lncRNAs) play important roles in the regulation of gene
expression by acting as competing endogenous RNAs (ceRNAs). However, the roles of …

Pathology images capture tumor histomorphological details in high resolution. However,
manual detection and characterization of tumor regions in pathology images is labor …

Translating the vast data generated by genomic platforms into accurate predictions of
clinical outcomes is a fundamental challenge in genomic medicine. Many prediction …

Recent advances in large-scale gene expression profiling necessitate concurrent
development of biostatistical approaches to reveal meaningful biological relationships. Most …

In this study, we apply a multidisciplinary approach to investigate falls in PD patients using
clinical, demographic and neuroimaging data from two independent initiatives (University of …

In many microarray studies, classifiers have been constructed based on gene signatures to
predict clinical outcomes for various cancer sufferers. However, signatures originating from …

Precision medicine in oncology aims at obtaining data from heterogeneous sources to have
a precise estimation of a given patient's state and prognosis. With the purpose of advancing …

Increasing evidence has indicated that long non-coding RNAs (lncRNAs) are implicated in
and associated with many complex human diseases. Despite of the accumulation of lncRNA …