Data Driven Selection of Biologically Diverse Cell Lines for Chemical Bioactivity Screening Using Content Maximization

Harrill, Joshua; Willis, Clinton; Malcomber, Sophie; White, Andy; Thomas, Russell S.; Sipes, Nisha; Setzer, R. Woodrow

doi:10.23645/epacomptox.12456056.v1

Harrill_SOT 2020 Poster_v3a_STICs.pdf (1.97 MB)

Data Driven Selection of Biologically Diverse Cell Lines for Chemical Bioactivity Screening Using Content Maximization

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posted on 2020-06-09, 20:01 authored by Joshua Harrill, Clinton Willis, Sophie Malcomber, Andy White, Russell S. Thomas, Nisha Sipes, R. Woodrow Setzer

Poster prepared for the Society of Toxicology annual meeting March 2020

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cell line selection high throughput transcriptomics biological diversity gene expression Toxicology

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Data Driven Selection of Biologically Diverse Cell Lines for Chemical Bioactivity Screening Using Content Maximization

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