Comprehensive Analyses of Tissue-Specific Networks with Implications to Psychiatric Diseases

Overview

Journal Methods Mol Biol

Specialty Molecular Biology

Date 2017 Aug 30

PMID 28849569

Citations 4

Authors

Guan Ning Lin

Roser Corominas

Hyun-Jun Nam

Jorge Urresti

Lilia M Iakoucheva

Affiliations

Soon will be listed here.

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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