An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinol

Considering the relatively low cost, smaller data size, and better availability of software and public databases for data analysis and interpretation, microarray is still a viable method of choice for traditional transcriptomic applications such as mechanistic pathway identification and concentration response modeling.

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Publication Details

Journal
BMC Genomics
Published
2025-04-22
DOI
https://doi.org/10.1186/s12864-025-11548-3
Citations
7
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
5.64

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article

An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinol

Xiugong Gao, Estatira Sepehr, Jeffrey J. Yourick, Miranda R. Yourick et al.
7 citations
BMC Genomics
Gene expression and cancer classification
5.64
article

An updated comparison of microarray and RNA-seq for concentration response transcriptomic study: case studies with two cannabinoids, cannabichromene and cannabinol

Xiugong Gao, Estatira Sepehr, Jeffrey J. Yourick, Miranda R. Yourick, Cory Vaught, Kayla Campasino, Yang Zhao, Robert L. Sprando
article en
7 citations

Abstract

Considering the relatively low cost, smaller data size, and better availability of software and public databases for data analysis and interpretation, microarray is still a viable method of choice for traditional transcriptomic applications such as mechanistic pathway identification and concentration response modeling.

BMC GenomicsVol. 26(1)
United States Food and Drug Administration (US), Food and Drug Administration (TH)
U.S. Food and Drug Administration, National Institute of Environmental Health Sciences
No poverty
Openalex Percentile: Top 4%
Gene expression and cancer classification
5.64
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