This paper proposes a preprocessing framework for optimizing large-scale graph database ingestion through intelligent edge filtering based on value ranking. We combine adapted PageRank algorithms with ...

When Pope Francis died in April on Easter Monday, the news triggered not only an outpouring of mourners but also a centuries-old tradition shrouded in secrecy: the papal conclave. Two weeks later 133 ...

Abstract: Accurate prediction of drug-disease associations (DDAs) is essential for drug repositioning and the development of novel therapeutic strategies. However, existing methods often suffer from ...

Abstract: Accurate prediction of drug–disease associations (DDAs) is essential for drug repositioning and the development of novel therapeutic strategies. However, existing methods often suffer from ...

Hey everyone! I recently passed the NVIDIA Data Science Professional Certification, and I'm thrilled to share some insights to help you on your journey. This is part of a series where I'll break down ...

This 10-year retrospective analysis was based on clinical data from hospital discharge records for individuals diagnosed with PAH (n = 2584). We used propensity score matching to match patients with ...

Distortions from traditional dimensionality reduction methods obscure relationships in high-dimensional single-cell data, thus impeding biological insights. We introduce DTNE (diffusive topology ...

PageRank is a Google algorithm for ranking pages based on the flow of authority via links, created by Larry Page and Sergey Brin. PageRank was once at the very core of search – and was what made ...

Film score or background music has always been a critical element of movies; a good background score aids in the narration of the story, adds depth to characters, enhances an actor's performance and ...

Consumers often need to compare the same type of products from different merchants to determine their purchasing needs. Fully mining the product information on the website and applying it to ...