Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Jacqueline M. Hughes-Oliver"'
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-20 (2018)
Abstract The goal of chemmodlab is to streamline the fitting and assessment pipeline for many machine learning models in R, making it easy for researchers to compare the utility of these models. While focused on implementing methods for model fitting
Externí odkaz:
https://doaj.org/article/38c09a78e6fe4546a8fba2acfe5d2a5e
Publikováno v:
Molecules, Vol 23, Iss 12, p 3076 (2018)
Permeation of chemical solutes through skin can create major health issues. Using the membrane-coated fiber (MCF) as a solid phase membrane extraction (SPME) approach to simulate skin permeation, we obtained partition coefficients for 37 solutes unde
Externí odkaz:
https://doaj.org/article/2de2ae41d5194e139b41b7b8c2357f62
Publikováno v:
Journal of Cheminformatics, Vol 14, Iss 1, Pp 1-17 (2022)
Abstract In virtual screening for drug discovery, hit enrichment curves are widely used to assess the performance of ranking algorithms with regard to their ability to identify early enrichment. Unfortunately, researchers almost never consider the un
Externí odkaz:
https://doaj.org/article/57267e6b5be84b178596b49ce7643212
Publikováno v:
Leadership in Statistics and Data Science ISBN: 9783030600594
This chapter describes several high-impact and enduring diversity efforts initiated by or in connection with Statistics faculty: NC State’s GLBT Center and Faculty Salary Equity Study, the Joint Statistical Meetings Diversity Mentoring Program, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1ace57b9e88448c56d4ed9fdca50797
https://doi.org/10.1007/978-3-030-60060-0_13
https://doi.org/10.1007/978-3-030-60060-0_13
Autor:
Jacqueline M. Hughes-Oliver
Publikováno v:
Wiley StatsRef: Statistics Reference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::983dd5172b1064d8ca313953003f1a7f
https://doi.org/10.1002/9781118445112.stat08041
https://doi.org/10.1002/9781118445112.stat08041
Publikováno v:
Molecules
Volume 23
Issue 12
Molecules, Vol 23, Iss 12, p 3076 (2018)
Volume 23
Issue 12
Molecules, Vol 23, Iss 12, p 3076 (2018)
Permeation of chemical solutes through skin can create major health issues. Using the membrane-coated fiber (MCF) as a solid phase membrane extraction (SPME) approach to simulate skin permeation, we obtained partition coefficients for 37 solutes unde
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ba2ce8b7e689194bdcac7f8f2f46057
Autor:
Jacqueline M. Hughes-Oliver
Publikováno v:
Notices of the American Mathematical Society. 66:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61fceb95a8976e2445a7c33e78cdb8e
https://doi.org/10.1090/noti1790
https://doi.org/10.1090/noti1790
Predicting skin permeability from complex chemical mixtures: incorporation of an expanded QSAR model
Publikováno v:
SAR and QSAR in Environmental Research. 24:711-731
Quantitative structure-activity relationship (QSAR) models have been widely used to study the permeability of chemicals or solutes through skin. Among the various QSAR models, Abraham's linear free-energy relationship (LFER) model is often employed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::113cd8bd6bf04b57b4747ff91d3be950
https://doi.org/10.1080/1062936x.2013.792875
https://doi.org/10.1080/1062936x.2013.792875
Publikováno v:
SAR and QSAR in Environmental Research. 24:135-156
Quantitative structure-activity relationship (QSAR) models are being used increasingly in skin permeation studies. The main idea of QSAR modelling is to quantify the relationship between biological activities and chemical properties, and thus to pred
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::501a63aee75cb473750a3d1671eb0ae9
https://doi.org/10.1080/1062936x.2012.742458
https://doi.org/10.1080/1062936x.2012.742458
Publikováno v:
Journal of Agricultural, Biological, and Environmental Statistics. 16:17-44
We explore the ability of a process-based space–time model to decompose 8-hour ozone on a given day and site into parts attributable to local emissions and regional transport, to provide space–time predictions, and to assess the efficacy of past
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e085aa00cc461f76879c5730c38f61b
https://doi.org/10.1007/s13253-010-0028-4
https://doi.org/10.1007/s13253-010-0028-4