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Pathway-level disease data mining through hyper-box principles.
Yang, Lingjian; Ainali, Chrysanthi; Kittas, Aristotelis; Nestle, Frank O; Papageorgiou, Lazaros G; Tsoka, Sophia.
Affiliation
  • Yang L; Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK.
  • Ainali C; Department of Informatics, School of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK; St John's Institute of Dermatology, Division of Genetics and Molecular Medicine, King's College London School of Medicine, Tower Wing, Guy's Hospital, Great Maze Pond, London S
  • Kittas A; Department of Informatics, School of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK.
  • Nestle FO; St John's Institute of Dermatology, Division of Genetics and Molecular Medicine, King's College London School of Medicine, Tower Wing, Guy's Hospital, Great Maze Pond, London SE1 9RT, UK.
  • Papageorgiou LG; Centre for Process Systems Engineering, Department of Chemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK. Electronic address: l.papageorgiou@ucl.ac.uk.
  • Tsoka S; Department of Informatics, School of Natural and Mathematical Sciences, King's College London, Strand, London WC2R 2LS, UK. Electronic address: sophia.tsoka@kcl.ac.uk.
Math Biosci ; 260: 25-34, 2015 Feb.
Article in En | MEDLINE | ID: mdl-25242610
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Data Mining / Models, Theoretical Type of study: Prognostic_studies Limits: Humans Language: En Journal: Math Biosci Year: 2015 Document type: Article Affiliation country: United kingdom Country of publication: United States
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Gene Expression Profiling / Data Mining / Models, Theoretical Type of study: Prognostic_studies Limits: Humans Language: En Journal: Math Biosci Year: 2015 Document type: Article Affiliation country: United kingdom Country of publication: United States