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 Collections genomic data.While the existing m

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Critical Evaluation for Education Reform

The school reform movement has done little to provide an accurate analysis of the production of inequality or the reproduction of social injustice in the public schools or the larger social order.The ideology that influences this movement Sleeveless has often prevented the realization of any notion of an egalitarian ideal, the elimination of inequa

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