MUBD‐DecoyMaker 2.0: A Python GUI Application to Generate Maximal Unbiased Benchmarking Data Sets for Virtual Drug Screening
Sign Up to like & getrecommendations! Published in 2019 at "Molecular Informatics"
DOI: 10.1002/minf.201900151
Abstract: Ligand enrichment assessment based on benchmarking data sets has become a necessity for the rational selection of the best‐suited approach for prospective data mining of drug‐like molecules. Up to now, a variety of benchmarking data… read more here.
Keywords: benchmarking data; data sets; drug; mubd decoymaker ... See more keywords
BIM-based benchmarking for healthcare construction projects
Sign Up to like & getrecommendations! Published in 2020 at "Automation in Construction"
DOI: 10.1016/j.autcon.2020.103347
Abstract: Abstract In the healthcare industry, the BIM-based benchmarking approach was identified as an alternative method to improve the current laborious and error-prone benchmarking practice by reducing manual inputs required for data collection and entry. However,… read more here.
Keywords: construction; benchmarking data; bim based; based benchmarking ... See more keywords
Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.8b00004
Abstract: Chemokine receptors (CRs) have long been druggable targets for the treatment of inflammatory diseases and HIV-1 infection. As a powerful technique, virtual screening (VS) has been widely applied to identifying small molecule leads for modern… read more here.
Keywords: data sets; benchmarking data; mubd hcrs; maximal unbiased ... See more keywords
FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation
Sign Up to like & getrecommendations! Published in 2019 at "Nature methods"
DOI: 10.1038/s41592-019-0624-3
Abstract: The ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a nonparametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data… read more here.
Keywords: benchmarking data; augmentation; high fidelity; data augmentation ... See more keywords
Cross-Registry Benchmarking of Data Quality: Lessons Learned.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230096
Abstract: Feedback of data quality measures to study sites is an established procedure in the management of registries. Comparisons of data quality between registries as a whole are missing. We implemented a cross-registry benchmarking of data… read more here.
Keywords: benchmarking data; quality; data quality; registry benchmarking ... See more keywords