Abstract Background We aimed to construct and validate the esophageal squamous cell carcinoma (ESCC)-related m6A regulators by means of machine leaning. Methods used ESCC RNA-seq data 66 pairs from West China Hospital Sichuan University transcriptome extracted The Cancer Genome Atlas (TCGA)-ESCA database find out ESCC-related regulators, during which, two learning approaches: RF (Random Forest)...

Evidence from monetary VARs suggests that in the U.S., Canada, and U.K. impact of shocks on real house prices is about three to five times as large GDP. Although these trade-offs are not manifestly unfavorable, light differences magnitudes GDP fluctuations, a policy leaning against former would inevitably entail significant losses latter. I use identified order explore corresponding associated ...

Research in machine learning has produced many learning algorithms mainly for classification tasks. This paper reports on an extension made to the learning program COBWEB to allow it to handle examples described by a more complex description language. The paper describes Bridger, a system that implements this, as well as other extensions. Bridger, combines leaning and performance in design task...

The manufacturing industry is moving “digital” and the changes required are numerous and extensive. In general, there is a lack of understanding of how new technologies are beneficial to the manufacturing industry. This transformation, also known as the 4 industrial revolution or Industry 4.0, created the need of a research platform that could enable practitioners and academia collaboration on ...

Echo chambers, i.e., situations where one is exposed only to opinions that agree with their own, are an increasing concern for the political discourse in many democratic countries. This paper studies the phenomenon of political echo chambers on social media. We identify the two components in the phenomenon: the opinion that is shared, and the “chamber” (i.e., the social network) that allows the...