Zobrazeno 1 - 10 of 20 pro vyhledávání: '"Tate, Tia"'
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Building a compendium of expert driven read-across (EDRA) cases to investigate the utility of New Approach Methodology (NAM) data in Generalized Read-Across (GenRA)
Autor: Jenkins, Willysha, Tate, Tia, Shah, Imran, Patlewicz, Grace
Presentation to the QSAR 2021 International Workshop on QSAR in Environmental and Health Sciences June 2021Search for CCTE records in EPA’s Science Inventory by typing in the title at this link.https://cfpub.epa.gov/si/si_public_search_results.cfm?
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07838e3ffe8e55846da040f95befa03d
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4
Influence of Transcriptomic Descriptors on the Generalized Read-Across (GenRA) Performance
Autor: Tate, Tia, Patlewicz, Grace, wambaugh, john, Shah, Imran
Presentation to the QSAR 2021 International Workshop on QSAR in Environmental and Health Sciences June 2021Search for CCTE records in EPA’s Science Inventory by typing in the title at this link.https://cfpub.epa.gov/si/si_public_search_results.cfm?
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10c959971a94f8b54e43d7dec38537eb
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5
Generalised Read-Across (GenRA) Prediction: Updating the Dashboard implementation and using genra-py as a standalone application
Autor: Shah, Imran, Tate, Tia, Girardin, Lionel, Hamilton, Sean, Sharma, Bhaskar, Brown, Terry N, Baron-Furuyama, Kenta, Do, Phuc, Patlewicz, Grace
Presentation to the QSAR 2021 International Workshop on QSAR in Environmental and Health Sciences June 2021Search for CCTE records in EPA’s Science Inventory by typing in the title at this link.https://cfpub.epa.gov/si/si_public_search_results.cfm?
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97abc0f6e0bf62c0ab3156ad9883f117
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6
Building Scientific Confidence in the Development and Application of Objective Read-across Approaches
Autor: Patlewicz, Grace, Shah, Imran, Helman, George, Tate, Tia, Willysha Jenkins
This work expands the GenRA read-across approach to incorporate enhanced means for categorizing and grouping chemicals to improve estimation of toxicities. This would include incorporating other similarity contexts (e.g. reactivity, bioactivity, meta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::057485e55ccb6ef8aba1c842c3aa9db0
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7
Machine Learning Comparison for Toxicity Prediction Using Targeted Transcriptomic and Chemical Structure Data
Autor: Tate, Tia, Patlewicz, Grace, Shah, Imran
Presentation of poster to the 10th Annual Meeting of the ASCCT on October 12-14, 2021 (virtual), Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeI
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::946fea0338c63ee705cb2955ba786e3f
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9
Akademický článek
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10
Akademický článek
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