Proportionality: A Valid Alternative to Correlation for Relative Data

PLoS Computational Biology

Volumn 11, Issue 3, 2015, Pages

  Lovell, David ^a   Pawlowsky Glahn, Vera ^b   Egozcue, Juan José ^c   Marguerat, Samuel ^d   Bähler, Jürg ^e  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b UNIVERSITY OF GIRONA   (Spain)

^c UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION;

CO-EXPRESSION NETWORKS; COMPOSITIONAL DATA; GENE EXPRESSION DATA; HEATMAPS; INTRIGUING QUESTIONS; LIFE-SCIENCES; MEASUREMENT METHODS; MEASURES OF ASSOCIATION; RELATIVE ABUNDANCE; VISUALIZATION METHOD;

YEAST;

MESSENGER RNA; FUNGAL RNA;

ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA ANALYSIS; GENE CONTROL; GENE EXPRESSION; MATHEMATICAL COMPUTING; MATHEMATICAL VARIABLE; PROPORTIONALITY; STATISTICAL PARAMETERS; BIOLOGICAL MODEL; BIOLOGY; GENE EXPRESSION REGULATION; GENETICS; METHODOLOGY; PROCEDURES; STATISTICAL MODEL; YEAST;

COMPUTATIONAL BIOLOGY; GENE EXPRESSION REGULATION, FUNGAL; MODELS, GENETIC; MODELS, STATISTICAL; RESEARCH DESIGN; RNA, FUNGAL; RNA, MESSENGER; YEASTS;

EID: 84926322943     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004075     Document Type: Article

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