DEEPDRIVER: PREDICTING CANCER DRIVER GENES BASED ON SOMATIC MUTATIONS USING DEEP CONVOLUTIONAL NEURAL NETWORKS

deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks

With the advances in high-throughput technologies, millions of somatic mutations have been reported in the past decade.Identifying driver genes with oncogenic mutations from Liquid and Household Cleaning Products these data is a critical and challenging problem.Many computational methods have been proposed to predict driver genes.Among them, machin

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In vitro Culture with Cytokines Provides a Tool to Assess the Effector Functions of ILC2s in Peripheral Blood in Asthma

Li Y Drake,1,2 Kathleen R Bartemes,1,3 Kay A Bachman,1 John B Hagan,1 Hirohito Kita1,4 1Division of Allergic Diseases and Department of Medicine, Mayo Clinic, Rochester, MN, USA; 2Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA; 3Department of Otorhinolaryngology, Mayo Clinic, Rochester, MN, USA; 4Division o

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Ecosystem service values as an ecological indicator for land management decisions: A case study in southern Ontario, Canada

This research quantifies the economic value of ecosystem services by land cover type, using a case study approach and data localized to southern Ontario, Canada.The cumulative value of different ecosystem services per unit area can be a valuable ecological indicator for guiding land use decision-making and environmental planning.Literature values w

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Stackelberg Equilibrium Premium Strategies for Push-Pull Competition in a Non-Life Insurance Market with Product Differentiation

Two insurance companies I 1 , I 2 with reserves R 1 ( t ) , R 2 ( t ) compete for customers, such that in a suitable differential game the smaller company I 2 with R 2 ( 0 ) < R 1 ( 0 ) aims at minimizing R 1 ( t ) − R 2 ( t ) by using the premium p 2 as control and the larger I 1 Fruit Bowl at maximizing by using p 1.Deductibles K 1 , K 2

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