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Dissecting systems-wide data using mixture models: application to identify affected cellular processes. 2005 (English)In: BMC Bioinformatics, E-ISSN 1471-2105, Vol. 6, p. 177-Article in journal (Refereed) Published

Place, publisher, year, edition, pages

2005. Vol. 6, p. 177-

Keywords [en]

Breast Neoplasms/genetics, Cell Cycle/genetics, Computational Biology/*methods, DNA-Binding Proteins/metabolism, Gene Expression Profiling/*methods, Gene Expression Regulation; Neoplastic/genetics, Genetic Screening/methods, Humans, Models; Genetic, Phosphorylation, Predictive Value of Tests, Protein Array Analysis/methods

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URN: urn:nbn:se:uu:diva-79628PubMedID: 16018805OAI: oai:DiVA.org:uu-79628DiVA, id: diva2:107541

Available from: 2006-06-29 Created: 2006-06-29 Last updated: 2024-01-17

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PubMedhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Retrieve&list_uids=16018805&dopt=Citation

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Turesson, Ingela

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Turesson, Ingela

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Department of Oncology, Radiology and Clinical Immunology

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BMC Bioinformatics

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