Evidence map›Paper›PMID 20233650›Full record

ReviewThe Journal of nutritional biochemistry2010

Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biology.

Wenjiang J Fu, Arnold J Stromberg, Kert Viele, Raymond J Carroll, Guoyao Wu

Abstract readReview
In one paragraph

Review in The Journal of nutritional biochemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 108 citations in OpenAlex.

  1. Article
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  8. Review
  9. Review
  10. Article
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  15. Article
  16. Article
  17. Article
  18. DietaryFrontiers in veterinary science · 2022
    Article
  19. Data analysis methods for defining biomarkers from omics data.Analytical and bioanalytical chemistry · 2022
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Wenjiang J FuDepartment of Epidemiology, Michigan State University, East Lansing, MI 48824, USA.
Arnold J Stromberg
Kert Viele
Raymond J Carroll
Guoyao Wu
Texas A&M University · USUniversity of Kentucky · USMichigan State University · US

Funding

Vascular Mechanisms of PCB-Induced Brain MetastasesP42ES007380 · NIEHS · UNIVERSITY OF KENTUCKY · PI PEARSON, KEVIN JOSEPH · 1997 to 2024
$47.8M
ZEBRAFISH VISUAL FUNCTION RECOVERY FOLLOWING OPTIC NERVE DAMAGEP20RR016481 · NCRR · UNIVERSITY OF LOUISVILLE · PI BARTON, HAZEL A · 2001 to 2011
$34.8M
UKY DENTAL COBRE: POLYBACTERIAL PERIODONTITIS: N-3 PUFA AND ANTIOXIDANTSP20RR020145 · NCRR · UNIVERSITY OF KENTUCKY · PI EBERSOLE, JEFFREY L · 2004 to 2011
$18.3M
Measurement Error, Nutrition and Breast/Colon CancerR37CA057030 · NCI · TEXAS A&M UNIVERSITY SYSTEM · PI CARROLL, RAYMOND J. · 2005 to 2014
$3.3M
Measurement Error, Nutrition, Physical Activity and CancerU01CA057030 · NCI · TEXAS A&M UNIVERSITY · PI CARROLL, RAYMOND J. · 2015 to 2019
$2.8M
MEASUREMENT ERROR, NUTRITION AND BREAST/COLON CANCERR01CA057030 · NCI · TEXAS A&M UNIVERSITY SYSTEM · PI CARROLL, RAYMOND J. · 1992 to 2004
$1.3M
Arginine and Ovine Model for Fetal Growth RestrictionR21HD049449 · NICHD · TEXAS A&M UNIVERSITY · PI WU, GUOYAO · 2006 to 2007
$324k
NCI NIH HHS CA57030NCI NIH HHS R01 CA057030NCI NIH HHS R37 CA057030NCI NIH HHS U01 CA057030NCRR NIH HHS P20 RR016481NCRR NIH HHS P20 RR020145NCRR NIH HHS P20RR020145-01NCRR NIH HHS P20RR16481NICHD NIH HHS 1R21 HD049449NICHD NIH HHS R21 HD049449NIEHS NIH HHS 2P42 ES007380-09NIEHS NIH HHS P42 ES007380
6 · The paper itself

Abstract

Over the past 2 decades, there have been revolutionary developments in life science technologies characterized by high throughput, high efficiency, and rapid computation. Nutritionists now have the advanced methodologies for the analysis of DNA, RNA, protein, low-molecular-weight metabolites, as well as access to bioinformatics databases. Statistics, which can be defined as the process of making scientific inferences from data that contain variability, has historically played an integral role in advancing nutritional sciences. Currently, in the era of systems biology, statistics has become an increasingly important tool to quantitatively analyze information about biological macromolecules. This article describes general terms used in statistical analysis of large, complex experimental data. These terms include experimental design, power analysis, sample size calculation, and experimental errors (Type I and II errors) for nutritional studies at population, tissue, cellular, and molecular levels. In addition, we highlighted various sources of experimental variations in studies involving microarray gene expression, real-time polymerase chain reaction, proteomics, and other bioinformatics technologies. Moreover, we provided guidelines for nutritionists and other biomedical scientists to plan and conduct studies and to analyze the complex data. Appropriate statistical analyses are expected to make an important contribution to solving major nutrition-associated problems in humans and animals (including obesity, diabetes, cardiovascular disease, cancer, ageing, and intrauterine growth retardation).

Indexed as

Data Interpretation, StatisticalNutritional SciencesAnimalsBiomedical TechnologyComputational BiologyHumansResearch DesignSystems BiologyTerminology as Topic

Identifiers

PMID20233650
PMCPMC2885517
OpenAlexW2045380981

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.