Systems Analysis of High-Throughput Data

摘要: Modern high-throughput assays yield detailed characterizations of the genomic, transcriptomic, and proteomic states biological samples, enabling us to probe molecular mechanisms that regulate hematopoiesis or give rise hematological disorders. At same time, high dimensionality data complex nature interaction networks present significant analytical challenges in identifying causal variations modeling underlying systems biology. In addition significantly disregulated genes proteins, integrative analysis approaches allow investigation these single within a functional context are required. This chapter presents survey current computational for statistical high-dimensional development systems-level models cellular signaling regulation. Specifically, we focus on multi-gene methods integration expression with domain knowledge (such as pathways) other gene-wise information (e.g., sequence methylation data) identify novel modules network.