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Page 1
A Bayesian Framework for the Classification of Microbial Gene Activity States.
Front Microbiol. 2016 Aug 9;7:1191. doi: 10.3389/fmicb.2016.01191. eCollection 2016.
Front Microbiol. 2016.
PMID: 27555837
Free PMC article.
A genome-wide association study of red-blood cell fatty acids and ratios incorporating dietary covariates: Framingham Heart Study Offspring Cohort.
Kalsbeek A, Veenstra J, Westra J, Disselkoen C, Koch K, McKenzie KA, O'Bott J, Vander Woude J, Fischer K, Shearer GC, Harris WS, Tintle NL.
Kalsbeek A, et al. Among authors: disselkoen c.
PLoS One. 2018 Apr 13;13(4):e0194882. doi: 10.1371/journal.pone.0194882. eCollection 2018.
PLoS One. 2018.
PMID: 29652918
Free PMC article.
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IMPROVED PERFORMANCE OF GENE SET ANALYSIS ON GENOME-WIDE TRANSCRIPTOMICS DATA WHEN USING GENE ACTIVITY STATE ESTIMATES.
Kamp T, Adams M, Disselkoen C, Tintle N.
Kamp T, et al. Among authors: disselkoen c.
Pac Symp Biocomput. 2017;22:449-460. doi: 10.1142/9789813207813_0042.
Pac Symp Biocomput. 2017.
PMID: 27896997
Free PMC article.
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Genome-Wide Interaction Study of Omega-3 PUFAs and Other Fatty Acids on Inflammatory Biomarkers of Cardiovascular Health in the Framingham Heart Study.
Veenstra J, Kalsbeek A, Westra J, Disselkoen C, Smith C, Tintle N.
Veenstra J, et al. Among authors: disselkoen c.
Nutrients. 2017 Aug 18;9(8):900. doi: 10.3390/nu9080900.
Nutrients. 2017.
PMID: 28820441
Free PMC article.
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