AN UNSUPERVISED DEEP LEARNING FRAMEWORK FOR PREDICTING HUMAN ESSENTIAL GENES FROM POPULATION AND FUNCTIONAL GENOMIC DATA

An unsupervised deep learning framework for predicting human essential genes from population and functional genomic data

Abstract Background The ability to accurately predict essential genes intolerant to loss-of-function (LOF) mutations can dramatically improve the identification of disease-associated genes.Recently, there have been numerous computational methods developed to predict human essential genes from population genomic data.While the existing methods are h

read more

The Ocean in Schools

They say that, as you get older, your Neck Cream ability to absorb new information diminishes and your capacity to hold old information dwindles.Looking back over past issues of Oceanography, I realized that dementia has well and truly set in for me.A couple of years ago, I wrote about communicating with the public, with a focus on media.In the sam

read more



Experimental Evaluation of the Role of Ecologically-Relevant Hosts and Vectors in Japanese Encephalitis Virus Genotype Displacement

Japanese encephalitis virus (JEV) is a flavivirus that is maintained via transmission between Culex spp.mosquitoes and water birds across a large swath of southern Asia and northern Australia.Currently JEV is the leading cause of vaccine-preventable encephalitis in humans in Asia.Five genotypes of JEV (G-I–G-V) have been responsible for histo

read more