Analysis of Variance Using Statistical Computing Packages

Sahai, Hardeo; Ageel, Mohammed I.

doi:10.1007/978-1-4612-1344-4_11

Cited by 2 publications

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“…As a first step, we use ANOVA (Sahai and Agell, 2000) to identify the genes that are differentially expressed with respect to genotypes or ABA. Within the control or ABA treatment categories, the expression of each gene is affected merely by genotypes, so we perform one‐way ANOVA and denote the corresponding P ‐value as P geno .…”

Section: Methodsmentioning

confidence: 99%

Boolean modeling of transcriptome data reveals novel modes of heterotrimeric G‐protein action

Pandey

Wang

Wilson

et al. 2010

Molecular Systems Biology

114

131

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Classical mechanisms of heterotrimeric G-protein signaling are observed to function in regulation of the transcriptome. Conversely, many theoretical regulatory modes of the G-protein are not manifested in the transcriptomes we investigate.A new mechanism of G-protein signaling is revealed, in which the β subunit regulates gene expression identically in the presence or absence of the α subunit.We find evidence of cross-talk between G-protein-mediated and hormone-mediated transcriptional regulation.We find evidence of system specificity in G-protein signaling.

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Section: Methodsmentioning

confidence: 99%

Boolean modeling of transcriptome data reveals novel modes of heterotrimeric G‐protein action

Pandey

Wang

Wilson

et al. 2010

Molecular Systems Biology

114

131

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“…Inferential statistical tests were derived from the model to compare low dose CAPs to placebo and high dose CAPs to placebo. Covariate adjustment was Type III (each effect adjusted for all others); the model was obtained using Restricted Maximum Likelihood Estimation; and the model solution was accomplished using Newton-Raphson iterations [ 21 – 23 ]. Individual models were fit to percent change in percent body fat and to percent change in fat mass.…”

Section: Methodsmentioning

confidence: 99%

Capsaicinoids supplementation decreases percent body fat and fat mass: adjustment using covariates in a post hoc analysis

Rogers¹,

Urbina

Taylor

et al. 2018

BMC Obes

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BackgroundCapsaicinoids (CAPs) found in chili peppers and pepper extracts, are responsible for enhanced metabolism. The objective of the study was to evaluate the effects of CAPs on body fat and fat mass while considering interactions with body habitus, diet and metabolic propensity.MethodsSeventy-five (N = 75) volunteer (male and female, age: 18 and 56 years) healthy subjects were recruited. This is a parallel group, randomized, double-blind, placebo controlled exploratory study. Subjects were randomly assigned to receive either placebo, 2 mg CAPs or 4 mg CAPs dosing for 12 weeks. After initial screening, subjects were evaluated with respect to fat mass and percent body fat at baseline and immediately following a 12-week treatment period. The current study evaluates two measures of fat loss while considering six baseline variables related to fat loss. Baseline measurements of importance in this paper are those used to evaluate body habitus, diet, and metabolic propensity. Lean mass and fat mass (body habitus); protein intake, fat intake and carbohydrate intake; and total serum cholesterol level (metabolic propensity) were assessed. Body fat and fat mass were respectively re-expressed as percent change in body fat and change in fat mass by application of formula outcome = (12-week value – baseline value) / baseline value) × 100. Thus, percent change in body fat and change in fat mass served as dependent variables in the evaluation of CAPs. Inferential statistical tests were derived from the model to compare low dose CAPs to placebo and high dose CAPs to placebo.ResultsPercent change in body fat after 12 weeks of treatment was 5.91 percentage units lower in CAPs 4 mg subjects than placebo subjects after adjustment for covariates (p = 0.0402). Percent change in fat mass after 12 weeks of treatment was 6.68 percentage units lower in Caps 4 mg subjects than placebo subjects after adjustment for covariates (p = 0.0487).ConclusionThese results suggest potential benefits of Capsaicinoids (CAPs) on body fat and fat mass in post hoc analysis. Further studies are required to explore pharmacological, physiological, and metabolic benefits of both chronic and acute Capsaicinoids consumption.Trial registrationISRCTN10458693 ‘retrospectively registered’.

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Analysis of Variance Using Statistical Computing Packages

Cited by 2 publications

References 0 publications

Boolean modeling of transcriptome data reveals novel modes of heterotrimeric G‐protein action

Boolean modeling of transcriptome data reveals novel modes of heterotrimeric G‐protein action

Capsaicinoids supplementation decreases percent body fat and fat mass: adjustment using covariates in a post hoc analysis

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