Unlocking proteomic heterogeneity in complex diseases through visual analytics

• Published in: Proteomics (Weinheim) Vol. 15; no. 8; pp. 1405 - 1418
• Main Authors: Bhavnani, Suresh K., Dang, Bryant, Bellala, Gowtham, Divekar, Rohit, Visweswaran, Shyam, Brasier, Allan R., Kurosky, Alex
• Format: Journal Article
• Language: English
• Published: Germany Blackwell Publishing Ltd 01.04.2015; Wiley Subscription Services, Inc
• Subjects: Analytics; Asthma; Bioinformatics; Biomarkers; Biomedical data; Boutonneuse Fever - metabolism; Clinical trials; Cognitive ability; Complexity; Computer Graphics; Data Interpretation, Statistical; Data processing; Diseases; Gene Regulatory Networks; Heterogeneity; Humans; Mathematical analysis; Medical research; Molecular and clinical profiles; Molecular chains; Network analysis; Networks; Personalized medicine; Protein Interaction Maps; Proteome - genetics; Proteome - metabolism; Proteomic heterogeneity; Proteomics - methods; Subject-Protein Networks; Translation; Visual fields; Molecular and clinical profiles; Personalized medicine; Subject-Protein Networks; Bioinformatics; Proteomic heterogeneity; Network analysis

Despite years of preclinical development, biological interventions designed to treat complex diseases such as asthma often fail in phase III clinical trials. These failures suggest that current methods to analyze biomedical data might be missing critical aspects of biological complexity such as the...