by Josh Barney, University of Virginia Overview of KSTAR algorithm. First, we heuristically prune dense and highly overlapping weighted kinase-substrate prediction graphs from NetworKIN into many sparse, binary graphs. Statistical enrichment is calculated for an experiment that has a defined set of phosphorylation sites for every kinase across all networks using a hypergeometric distribution. We...
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Time of death or personal autonomy? Cancer patients prefer knowing functional prognosis over life expectancy
by University of Tsukuba Credit: create jobs 51/Shutterstock Providing prognostic information is a vital component of cancer patient care. However, the specific information cancer patients prefer to receive has been poorly understood, which can impact patient satisfaction and the quality of doctor-patient communications. Now, researchers in Japan have revealed that cancer patients prefer to be...