Ronglin Che

Works (3)

Updated: July 5th, 2023 15:38

2016 article

Eigenvector metabolite analysis reveals dietary effects on the association among metabolite correlation patterns, gene expression, and phenotypes

Chialvo, C. H. S., Che, R., Reif, D., Motsinger-Reif, A., & Reed, L. K. (2016, September 20). Metabolomics, Vol. 12.

By: C. Chialvo *, R. Che n, D. Reif n , A. Motsinger-Reif n & L. Reed *

Contributors: C. Scott Chialvo *, R. Che n, D. Reif n , A. Motsinger-Reif n & L. Reed *

author keywords: Eigenvector metabolite analysis; Linkage analyses; Environment; Enrichment analyses
topics (OpenAlex): Metabolomics and Mass Spectrometry Studies; Bioinformatics and Genomic Networks; Microbial Metabolic Engineering and Bioproduction
TL;DR: Eigenvector Metabolite Analysis provides a simple method to identify correlations between metabolites, gene expression, and phenotypes, which can allow us to partition multivariate datasets into meaningful biological modules and identify under-studied metabolites and unannotated gene transcripts that may be central to important biological processes. (via Semantic Scholar)
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UN Sustainable Development Goal Categories
15. Life on Land (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2014 journal article

An adaptive permutation approach for genome-wide association study: Evaluation and recommendations for use

Biodata Mining, 7.

By: R. Che, J. Jack, A. Motsinger-Reif & C. Brown

Source: NC State University Libraries
Added: August 6, 2018

2012 personal communication

Loss of power in two-stage residual-outcome regression analysis in genetic association studies

By: R. Che, A. Motsinger-Reif & C. Brown

Source: NC State University Libraries
Added: August 6, 2018

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