Nonlinear modeling of the estrogen receptor activity of environmental chemicals using classification algorithms and single-cell level data

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dc.contributor.author Aghayev, Zahir
dc.contributor.author Szafran, Adam T.
dc.contributor.author Tran, Anh
dc.contributor.author Ganesh, Hari S.
dc.contributor.author Stossi, Fabio
dc.contributor.author Zhou, Lan
dc.contributor.author Mancini, Michael A.
dc.contributor.author Pistikopoulos, Efstratios N.
dc.contributor.author Beykal, Burcu
dc.contributor.other AIChE Annual Meeting 2022
dc.coverage.spatial United States of America
dc.date.accessioned 2024-05-30T11:50:01Z
dc.date.available 2024-05-30T11:50:01Z
dc.date.issued 11/13/2022
dc.identifier.citation Aghayev, Zahir; Szafran, Adam T.; Tran, Anh; Ganesh, Hari S.; Stossi, Fabio; Zhou, Lan; Mancini, Michael A.; Pistikopoulos, Efstratios N. and Beykal, Burcu, "Nonlinear modeling of the estrogen receptor activity of environmental chemicals using classification algorithms and single-cell level data", in the AIChE Annual Meeting 2022, Phoenix, US, Nov. 13-18, 2022.
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/10089
dc.description.statementofresponsibility by Zahir Aghayev, Adam T. Szafran, Anh Tran, Hari S. Ganesh, Fabio Stossi, Lan Zhou, Michael A. Mancini, Efstratios N. Pistikopoulos and Burcu Beykal
dc.language.iso en_US
dc.title Nonlinear modeling of the estrogen receptor activity of environmental chemicals using classification algorithms and single-cell level data
dc.type Conference Paper


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