Interpreter of maladies

Redescription mining applied to biomedical data analysis

Peter Waltman, Alex Pearlman, Bhubaneswar Mishra

Research output: Contribution to journalArticle

Abstract

Comprehensive, systematic and integrated data-centric statistical approaches to disease modeling can provide powerful frameworks for understanding disease etiology. Here, one such computational framework based on redescription mining in both its incarnations, static and dynamic, is discussed. The static framework provides bioinformatic tools applicable to multifaceted datasets, containing genetic, transcriptomic, proteomic, and clinical data for diseased patients and normal subjects. The dynamic redescription framework provides systems biology tools to model complex sets of regulatory, metabolic and signaling pathways in the initiation and progression of a disease. As an example, the case of chronic fatigue syndrome (CFS) is considered, which has so far remained intractable and unpredictable in its etiology and nosology. The redescription mining approaches can be applied to the Centers for Disease Control and Prevention's Wichita (KS, USA) dataset, integrating transcriptomic, epidemiological and clinical data, and can also be used to study how pathwa ys in the hypothalamic-pituitary-adrenal axis affect CFS patients.

Original languageEnglish (US)
Pages (from-to)503-509
Number of pages7
JournalPharmacogenomics
Volume7
Issue number3
DOIs
StatePublished - Apr 2006

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Chronic Fatigue Syndrome
Systems Biology
Centers for Disease Control and Prevention (U.S.)
Metabolic Networks and Pathways
Computational Biology
Proteomics
Disease Progression
Datasets

Keywords

  • Chronic fatigue syndrome
  • Redescription analysis
  • Statistical analysis

ASJC Scopus subject areas

  • Pharmacology
  • Genetics(clinical)

Cite this

Interpreter of maladies : Redescription mining applied to biomedical data analysis. / Waltman, Peter; Pearlman, Alex; Mishra, Bhubaneswar.

In: Pharmacogenomics, Vol. 7, No. 3, 04.2006, p. 503-509.

Research output: Contribution to journalArticle

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