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Modeling Clinical Phenotype Variability: Consideration of Genomic Variations, Computational Methods, and Quantitative Proteomics.

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Title: Modeling Clinical Phenotype Variability: Consideration of Genomic Variations, Computational Methods, and Quantitative Proteomics.
Authors: Bai JPF; Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, USA. Electronic address: Jane.Bai@fda.hhs.gov., Yu LR; Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
Source: Journal of pharmaceutical sciences [J Pharm Sci] 2023 Apr; Vol. 112 (4), pp. 904-908. Date of Electronic Publication: 2022 Oct 21.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 2985195R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-6017 (Electronic) Linking ISSN: 00223549 NLM ISO Abbreviation: J Pharm Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Bai+JPF%22">Bai JPF</searchLink>; Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD 20903, USA. Electronic address: Jane.Bai@fda.hhs.gov.<br /><searchLink fieldCode="AU" term="%22Yu+LR%22">Yu LR</searchLink>; Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR 72079, USA.
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        Value: 10.1016/j.xphs.2022.10.016
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      – Code: eng
        Text: English
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      – TitleFull: Modeling Clinical Phenotype Variability: Consideration of Genomic Variations, Computational Methods, and Quantitative Proteomics.
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            NameFull: Bai JPF
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              Text: 2023 Apr
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              Y: 2023
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              Value: 112
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