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Hudbay Announces Initial Mineral Resource Estimate at Copper World

Hudbay Announces Initial Mineral Resource Estimate at Copper World
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United States , British Columbia , Peter Kukielski , Lerch Grossman , Olivier Tavchandjian , Andre Lauzon , National Instrument , York Stock Exchange , Hudbay Minerals Inc , Toronto Stock Exchange , New York Stock Exchange , Extensive Drill Program Results In Large Resource , United States Inc In Tucson , Bureau Veritas Mineral Laboratories In Reno , Copper World , North South Limb , Hudbay Minerals , Broad Top Butte , South Limb , Chief Executive , Senior Vice President , Chief Operating , Drill Program Results , Large Resource , Backbone Fault , Located Close ,

"Systematic evaluation of machine learning methods for identifying huma" by Huaming Chen, Fuyi Li et al.

In recent years, high-throughput experimental techniques have significantly enhanced the accuracy and coverage of protein-protein interaction identification, including human-pathogen protein-protein interactions (HP-PPIs). Despite this progress, experimental methods are, in general, expensive in terms of both time and labour costs, especially considering that there are enormous amounts of potential protein-interacting partners. Developing computational methods to predict interactions between human and bacteria pathogen has thus become critical and meaningful, in both facilitating the detection of interactions and mining incomplete interaction maps. In this paper, we present a systematic evaluation of machine learning-based computational methods for human-bacterium protein-protein interactions (HB-PPIs). We first reviewed a vast number of publicly available databases of HP-PPIs and then critically evaluate the availability of these databases. Benefitting from its well-structured nature, ....

Uman Pathogen Interactions , Machine Learning , Rotein Protein Interactions , Sequential Analysis , Systematic Evaluation ,