The Transcriptomic Toolbox: Resources for Interpreting Large Gene Expression Data within a Precision Medicine Context for Metabolic Disease Atherosclerosis
As one of the most widespread metabolic diseases, atherosclerosis affects nearly everyone as they age; arteries gradually narrow from plaque accumulation over time reducing oxygenated blood flow to central and periphery causing heart disease, stroke, kidney problems, and even pulmonary disease. Pers...
Main Authors: | Caralina Marín de Evsikova, Isaac D. Raplee, John Lockhart, Gilberto Jaimes, Alexei V. Evsikov |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Journal of Personalized Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4426/9/2/21 |
Similar Items
-
Fold-Change-Specific Enrichment Analysis (FSEA): Quantification of Transcriptional Response Magnitude for Functional Gene Groups
by: Daniil S. Wiebe, et al.
Published: (2020-04-01) -
Comorbidity between Alzheimer’s disease and major depression: a behavioural and transcriptomic characterization study in mice
by: Ana Martín-Sánchez, et al.
Published: (2021-04-01) -
Drug perturbation gene set enrichment analysis (dpGSEA): a new transcriptomic drug screening approach
by: Mike Fang, et al.
Published: (2021-01-01) -
Transcriptome analysis of wheat grain using RNA-Seq
by: Liu WEI,Zhihui WU,Yufeng ZHANG,Dandan GUO,Yuzhou XU,Weixia CHEN,Haiying ZHOU,Mingshan YOU,Baoyun LI
Published: (2014-09-01) -
Improving the power of gene set enrichment analyses
by: Joanna Roder, et al.
Published: (2019-05-01)