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Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases.
Lin, Guan Ning; Corominas, Roser; Nam, Hyun-Jun; Urresti, Jorge; Iakoucheva, Lilia M.
Afiliação
  • Lin GN; Department of Psychiatry, University of California San Diego, 9500 Gilman Drive #0603, La Jolla, CA, 92093, USA.
  • Corominas R; Shanghai Mental Health Center, Shanghai Key Laboratory of Psychotic Disorders and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
  • Nam HJ; Department of Psychiatry, University of California San Diego, 9500 Gilman Drive #0603, La Jolla, CA, 92093, USA.
  • Urresti J; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
  • Iakoucheva LM; Hospital del Mar Research Institute (IMIM), Barcelona, Spain.
Methods Mol Biol ; 1613: 371-402, 2017.
Article em En | MEDLINE | ID: mdl-28849569
ABSTRACT
Recent advances in genome sequencing and "omics" technologies are opening new opportunities for improving diagnosis and treatment of human diseases. The precision medicine initiative in particular aims at developing individualized treatment options that take into account individual variability in genes and environment of each person. Systems biology approaches that group genes, transcripts and proteins into functionally meaningful networks will play crucial role in the future of personalized medicine. They will allow comparison of healthy and disease-affected tissues and organs from the same individual, as well as between healthy and disease-afflicted individuals. However, the field faces a multitude of challenges ranging from data integration to statistical and combinatorial issues in data analyses. This chapter describes computational approaches developed by us and the others to tackle challenges in tissue-specific network analyses, with the main focus on psychiatric diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia de Sistemas / Redes Reguladoras de Genes / Transtornos Mentais Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia de Sistemas / Redes Reguladoras de Genes / Transtornos Mentais Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Methods Mol Biol Ano de publicação: 2017 Tipo de documento: Article