EPIDIP/NANODIP: A VERSATILE UNSUPERVISED MACHINE LEARNING EDGE COMPUTING PLATFORM FOR EPIGENOMIC TUMOUR DIAGNOSTICS

EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics

Abstract DNA methylation analysis based on supervised machine learning algorithms with static reference data, allowing diagnostic tumour typing with unprecedented precision, has quickly become a new standard of care.Whereas genome-wide diagnostic methylation profiling is mostly performed on microarrays, an increasing number of institutions addition

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Mass transfer in liquid-phase epitaxy of two-layer systems

A liquid phase epitaxy diffusion model of a two-layer system at WATCHES instable cooling speed of the solution-melt has been developed.It was discovered that the transition process continues even after the termination of cooling, due to which the layer Hair Glue growth continues as well.This effect is connected with to the hypothetical inertia of t

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Hierarchical Transfer Learning for Multilingual, Multi-Speaker, and Style Transfer DNN-Based TTS on Low-Resource Languages

This work applies a hierarchical transfer learning to implement deep neural network (DNN)-based multilingual text-to-speech (TTS) for low-resource languages.DNN-based system typically requires a large amount of training data.In recent years, while DNN-based TTS has made remarkable results for high-resource languages, it still suffers from a data sc

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