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BMC Systems Biology
This graph links Multiple Myeloma (MM) genes to known receptors for this blood cancer. ... Existing methods are based on network distance measures among significantly measured species. ... Conclusion In this study, we proposed a method that imposes constraints to model graph coloration on biological signaling and regulatory networks. ...doi:10.1186/s12918-018-0551-4 pmid:29589566 pmcid:PMC5872385 fatcat:7do5ntrymzc73hggppsfkcwekm
Computational and mathematical models are gradually being used to help us understand the omics data produced by high-throughput experimental techniques. ... The biological process and molecular functions involved in the cancer progression remain difficult to understand for biologists and clinical doctors. ... DILP was then applied to infer osteoclasts-mediated myeloma cell-specific pathways under normoxic and hypoxic condition on time series proteomic data and finally revealed that how OC-myeloma interaction ...doi:10.1155/2017/5958321 pmid:28386558 pmcid:PMC5366773 fatcat:e6pyjhqdyzfllk6q2l5yjzssf4
Through the application of a Systems Biology approach to reverse engineer Gene Regulatory Networks (GRNs) from gene expression data, we built GRNs around "hub" genes transcriptionally correlating with ... Clinical heterogeneity of breast cancer is in part explained by the vast genetic and molecular heterogeneity of this disease, which is now emerging from large-scale screening studies using "-omics" technologies ... constraints there are multiple solutions to ODEs system. ...doi:10.13130/lusito-eleonora_phd2015-03-18 fatcat:dyawnspuczfmpkuniianpxgmry