Titlebook: Systems Analysis of Human Multigene Disorders; Natalia Maltsev,Andrey Rzhetsky,T. Conrad Gilliam Book 2014 The Editor(s) (if applicable) a

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Characterizing Multi-omic Data in Systems Biology,results from scores of experimental methods that analyze DNA; mRNA; noncoding RNAs, DNA, RNA, and protein interactions; and the nucleotide modifications that form the epigenome into global datasets that represent a diverse array of “omics” data (transcriptional, epigenetic, proteomic, metabolomic).

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High-Throughput Translational Medicine: Challenges and Solutions,l knowledge from this voluminous data presents a significant challenge to a scientific community. Efficient mining of vast and complex data sets for the needs of biomedical research critically depends on seamless integration of clinical, genomic, and experimental information with prior knowledge abo

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A Personalized Treatment for Lung Cancer: Molecular Pathways, Targeted Therapies, and Genomic Charaision of lung cancer into non-small-cell lung cancer (NSCLC) and small-cell lung cancer (SCLC) is no longer acceptable. In the past decade and with the advent of personalized medicine, multiple advances have been made in understanding the underlying biology and molecular mechanisms of lung cancer. L

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Book 2014tems-level approaches to human heredity and health as systems of interacting genetic, epigenetic, and environmental factors. This integrative approach holds the promise of unveiling yet unexplored levels of molecular organization and biological complexity. It may also hold the key to deciphering the multigene patterns of disease inheritance.

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Computational Approaches for Human Disease Gene Prediction and Ranking,tized based on either functional or topological similarity to known disease genes. In this chapter we review the prioritization criteria and the algorithms along with some use cases that demonstrate how these tools can be used for identifying and ranking human disease candidate genes.

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