The AERCA algorithm performs robust root cause analysis in multivariate time series data by leveraging Granger causal discovery methods. This implementation in PyTorch facilitates experimentation on ...

Abstract: In this paper, the data of CPI, money supply and total social retail goods from December 2019 to September 2020 are taken as samples, and the multivariate linear regression method is used to ...

Department of Chemistry, University of Central Florida, Orlando, Florida 32816, United States Renewable Energy and Chemical Transformations Cluster, University of Central Florida, Orlando, Florida ...

With single-gene based drug target identification methods getting saturated, the scientific world is venturing beyond traditional approaches to enhance early drug discovery. We explore how combining ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

PoliBrush is a freely distributed, stand-alone software designed for teaching exploratory multivariate analysis in the frame of color RGB and spectral imaging. PoliBrush implements principal component ...

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