Tryptophan metabolism and serum fatty acids in acrodermatitis enteropathica

Binazzi, M; Calandra, P

doi:10.1007/bf00557891

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…They suspected from their results that acrodermatitis enteropathica could be caused by a dis turbance of the conversion of linoleic acid into arachidonic acid. Binazzi and Calandra [1] and Neldner et al [12] supported this idea, as results obtained in their cases were similar. In our case, arachidonic acid remained normal, the linoleic acid alone being decreased.…”

Section: Discussionsupporting

confidence: 79%

Acrodermatitis Enteropathica-Like Eruption Associated with Parenteral Nutrition

Katoh¹,

Igarashi²,

Ohhashi³

et al. 1976

Dermatology

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Section: Discussionsupporting

confidence: 79%

Acrodermatitis Enteropathica-Like Eruption Associated with Parenteral Nutrition

Katoh¹,

Igarashi²,

Ohhashi³

et al. 1976

Dermatology

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“…We observe that when our weights are applied, the scoring of the pathways is changed, and some pathways originally in lower ranks are elevated to higher ranks, hence, contributing to improved prediction rates. According to the previous studies [ 28 , 30 – 34 ], several significant pathways identified by our weighting schemes are biophysiologically associated with related diseases.…”

Section: Introductionmentioning

confidence: 99%

Applications of Different Weighting Schemes to Improve Pathway-Based Analysis

Kim

Wang

et al. 2011

Comparative and Functional Genomics

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Conventionally, pathway-based analysis assumes that genes in a pathway equally contribute to a biological function, thus assigning uniform weight to genes. However, this assumption has been proved incorrect, and applying uniform weight in the pathway analysis may not be an appropriate approach for the tasks like molecular classification of diseases, as genes in a functional group may have different predicting power. Hence, we propose to use different weights to genes in pathway-based analysis and devise four weighting schemes. We applied them in two existing pathway analysis methods using both real and simulated gene expression data for pathways. Among all schemes, random weighting scheme, which generates random weights and selects optimal weights minimizing an objective function, performs best in terms of P value or error rate reduction. Weighting changes pathway scoring and brings up some new significant pathways, leading to the detection of disease-related genes that are missed under uniform weight.

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Identification of tryptophan metabolites in the healthy epidermis of diabetics

Calandra

1977

Acta diabet. lat

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Tryptophan metabolism and serum fatty acids in acrodermatitis enteropathica

Cited by 3 publications

References 8 publications

Acrodermatitis Enteropathica-Like Eruption Associated with Parenteral Nutrition

Acrodermatitis Enteropathica-Like Eruption Associated with Parenteral Nutrition

Applications of Different Weighting Schemes to Improve Pathway-Based Analysis

Identification of tryptophan metabolites in the healthy epidermis of diabetics

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