Testing the significance of the RV coefficient

Josse, Julie; Pagès, Jacques; Husson, François

doi:10.1016/j.csda.2008.06.012

Cited by 191 publications

(144 citation statements)

References 13 publications

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“…Conversely, immune populations distant on CA dimensions have opposite representations in the patient population. (B) Similarity estimated through RV coefficients 18 between immune patterns of controls and transplant recipients at the same time points. RV coefficients (black squares) closer to 1 denote greater similarity between immune patterns of patients and controls.…”

Section: Patientsmentioning

confidence: 99%

Cytomegalovirus shapes long-term immune reconstitution after allogeneic stem cell transplantation

et al. 2014

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Immune reconstitution after allogeneic stem cell transplantation is a dynamic and complex process depending on the recipient and donor characteristics, on the modalities of transplantation, and on the occurrence of graft-versushost disease. Multivariate methods widely used for gene expression profiling can simultaneously analyze the patterns of a great number of biological variables on a heterogeneous set of patients. Here we use these methods on flow cytometry assessment of up to 25 lymphocyte populations to analyze the global pattern of long-term immune reconstitution after transplantation. Immune patterns were most distinct from healthy controls at six months, and had not yet fully recovered as long as two years after transplant. The two principal determinants of variability were linked to the balance of B and CD8 + T cells and of natural killer and B cells, respectively. Recipient's cytomegalovirus serostatus, cytomegalovirus replication, and chronic graft-versus-host disease were the main factors shaping the immune pattern one year after transplant. We identified a complex signature of underand over-representation of immune populations dictated by recipient's cytomegalovirus seropositivity. Finally, we identified dimensions of variance in immune patterns as significant predictors of long-term non-relapse mortality, independently of chronic graft-versus-host disease.

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Section: Patientsmentioning

confidence: 99%

Cytomegalovirus shapes long-term immune reconstitution after allogeneic stem cell transplantation

et al. 2014

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“…RV-coefficient (ranging from 0 to 1) was used to measure the similarity between the geometrical representations derived from each groups of variables [51]. RVcoefficients are then tested by permutations [29]. Euclidean distances of global PCA were used in MFA to perform cluster analysis according to the Ward method, and the resulting dendrogram was projected in the MFA ordination space.…”

Section: Numerical Analysesmentioning

confidence: 99%

Fine-Scale Horizontal and Vertical Micro-distribution Patterns of Testate Amoebae Along a Narrow Fen/Bog Gradient

et al. 2010

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The ecology of peatland testate amoebae is well studied along broad gradient from very wet (pool) to dry (hummock) micro-sites where testate amoebae are often found to respond primarily to the depth to water table (DWT). Much less is known on their responses to finerscale gradients, and nothing is known of their possible response to phenolic compounds, which play a key role in carbon storage in peatlands. We studied the vertical (0-3, 3-6, and 6-9 cm sampling depths) micro-distribution patterns of testate amoebae in the same microhabitat (Sphagnum fallax lawn) along a narrow ecological gradient between a poor fen with an almost flat and homogeneous Sphagnum carpet (fen) and a "young bog" (bog) with more marked micro-topography and mosaic of poor fen and bog vegetation. We analyzed the relationships between the testate amoeba data and three sets of variables (1) "chemical" (pH, Eh potential, and conductivity), (2) "physical" (water temperature, altitude, i.e., Sphagnum mat micro-topography, and DWT), and (3) phenolic compounds in/from Sphagnum (water-soluble and primarily bound phenolics) as well as the habitat (fen/bog) and the sampling depth. Testate amoeba Shannon H′ diversity, equitability J of communities, and total density peaked in lower parts of Sphagnum, but the patterns differed between the fen and bog micro-sites. Redundancy analyses revealed that testate amoeba communities differed significantly in relation to Eh, conductivity, water temperature, altitude, water-soluble phenolics, habitat, and sampling depth, but not to DWT, pH, or primarily bound phenolics. The sensitivity of testate amoebae to weak environmental gradients makes them particularly good integrators of micro-environmental variations and has implications for their use in paleoecology and environmental monitoring. The correlation between testate amoeba communities and the concentration of water-soluble phenolic suggests direct (e.g., physiological) and/or indirect (e.g., through impact on prey organisms) effects on testate amoebae, which requires further research.

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“…In addition, the significance of the Rv coefficient was determined using a permutation test [29]. To visually compare the similarity between the sensory configurations of the samples obtained through both methodologies, a multi factorial analysis (MFA) was performed on the coordinates of the samples in the first two dimensions of the corresponding CA.…”

Section: Comparison Of Obtained Sensory Mapsmentioning

confidence: 99%

“…To compare the results obtained using the PP methodology and its variant using CATA questions, the correlation coefficient Rv between the coordinate matrices of the samples was determined in the first two dimensions of the respective correspondence analysis [28]. In addition, the significance of the Rv coefficient was determined using a permutation test [29]. To visually compare the similarity between the sensory configurations of the samples obtained through both methodologies, a multi factorial analysis (MFA) was performed on the coordinates of the samples in the first two dimensions of the corresponding CA.…”

Section: Comparison Of Obtained Sensory Mapsmentioning

confidence: 99%

Application of a Pivot Profile Variant Using CATA Questions in the Development of a Whey-Based Fermented Beverage

2018

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Abstract:During the development of a food product, the application of rapid descriptive sensory methodologies is very useful to determine the influence of different variables on the sensory characteristics of the product under development. The Pivot profile (PP) and a variant of the technique that includes check-all-that-apply questions (PP + CATA) were used for the development of a milk drink fermented from demineralised sweet whey. Starting from a base formula of partially demineralised sweet whey and gelatin, nine samples were elaborated, to which various concentrations of commercial sucrose, modified cassava starch, and whole milk powder were added. Differences in sucrose content affected the sample texture and flavour and the modified starch was able to decrease the fluidity and increase the texture of creaminess and firmness, of the samples. The two applied sensory methodologies achieved good discrimination between the samples and very similar results, although the data analysis was clearly simplified in relation to the difficulty and time consumed in the PP + CATA variant.

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Testing the significance of the RV coefficient

Cited by 191 publications

References 13 publications

Cytomegalovirus shapes long-term immune reconstitution after allogeneic stem cell transplantation

Cytomegalovirus shapes long-term immune reconstitution after allogeneic stem cell transplantation

Fine-Scale Horizontal and Vertical Micro-distribution Patterns of Testate Amoebae Along a Narrow Fen/Bog Gradient

Application of a Pivot Profile Variant Using CATA Questions in the Development of a Whey-Based Fermented Beverage

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