Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
Researchers from Yunnan University, the Shanghai Astronomical Observatory (SHAO) of the Chinese Academy of Sciences, and the ...
Researchers from Nazarbayev University's National Laboratory created the first large-scale, high-quality genotyping dataset ...
Abstract: Atrial fibrillation (AF) is the one of most prevalent type of heart disorder, and early diagnosis plays a crucial role in reducing the risk of cardiac failure and stroke. However, detecting ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
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