COLORECTAL CANCER SUBTYPE IDENTIFICATION FROM DIFFERENTIAL GENE EXPRESSION LEVELS USING MINIMALIST DEEP LEARNING

Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Abstract Background Cancer molecular subtyping plays a critical role in individualized patient treatment.In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes.Unfortunately, the existing ones suffer from the curse of dimensionality, data sparsity, and computational deficiency.Met

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Managing Soils for Recovering from the COVID-19 Pandemic

The COVID-19 pandemic has disrupted the global food supply chain and exacerbated the problem of food and nutritional insecurity.Here we outline soil strategies to strengthen local food production systems, enhance their resilience, and create a circular economy focused on soil restoration through carbon sequestration, on-farm cycling of nutrients, E

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Moderate drought alleviates the damage to grain quality at high temperatures by improving the starch synthesis of inferior grains in japonica rice

In agricultural production, temperature and moisture are important factors affecting grain yield and quality.Although moderate drought at the grain-filling stage can effectively alleviate the damage caused by high temperature, the specific regulatory mechanism driving the effect of moderate drought at the high temperature on starch synthesis is sti

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