![]() del Sol Mesa, Antonio ![]() in Clinical Epigenetics (2019) Detailed reference viewed: 76 (9 UL)![]() del Sol Mesa, Antonio ![]() in Bioinformatics (2019) Detailed reference viewed: 176 (10 UL)![]() del Sol Mesa, Antonio ![]() in Stem Cells (2019) Detailed reference viewed: 110 (7 UL)![]() del Sol Mesa, Antonio ![]() in Nature Methods (2019) Detailed reference viewed: 183 (8 UL)![]() del Sol Mesa, Antonio ![]() in Nature (2019) Detailed reference viewed: 239 (15 UL)![]() del Sol Mesa, Antonio ![]() in Modeling Cellular Differentiation and Reprogramming with Gene Regulatory Networks (2019) Detailed reference viewed: 255 (17 UL)![]() del Sol Mesa, Antonio ![]() in Nucleic Acids Research (2019) Detailed reference viewed: 180 (9 UL)![]() del Sol Mesa, Antonio ![]() ![]() in Cell (2019) Detailed reference viewed: 308 (24 UL)![]() del Sol Mesa, Antonio ![]() in Trends in Biotechnology (2019) Detailed reference viewed: 178 (15 UL)![]() Okawa, Satoshi ![]() ![]() in Nucleic Acids Research (2019) Detailed reference viewed: 186 (28 UL)![]() Del Sol Mesa, Antonio ![]() in Acta Neuropathologica (2019) Detailed reference viewed: 71 (0 UL)![]() del Sol Mesa, Antonio ![]() ![]() ![]() in Trends in Biotechnology (2019) Detailed reference viewed: 175 (5 UL)![]() Zaffaroni, Gaia ![]() ![]() in Nucleic Acids Research (2019) Detailed reference viewed: 148 (31 UL)![]() del Sol Mesa, Antonio ![]() in Nature Communications (2018) Detailed reference viewed: 529 (45 UL)![]() Ali, Muhammad ![]() ![]() Book published by Springer International Publishing (2018) The large-scale development of high-throughput sequencing technologies has allowed the generation of reliable omics data at different regulatory levels. Integrative computational models enable the ... [more ▼] The large-scale development of high-throughput sequencing technologies has allowed the generation of reliable omics data at different regulatory levels. Integrative computational models enable the disentangling of a complex interplay between these interconnected levels of regulation by interpreting these large quantities of biomedical information in a systematic way. In the context of human diseases, network modeling of complex gene-gene interactions has been successfully used for understanding disease-related dysregulations and for predicting novel drug targets to revert the diseased phenotype. Furthermore, these computational network models have emerged as a promising tool to dissect the mechanisms of developmental processes such as cellular differentiation, transdifferentiation, and reprogramming. In this chapter, we provide an overview of recent advances in the field of computational modeling of cellular systems and known limitations. A particular attention is paid to highlight the impact of computational modeling on our understanding of stem cell biology and the complex multifactorial nature of human diseases and their treatment. [less ▲] Detailed reference viewed: 137 (6 UL)![]() del Sol Mesa, Antonio ![]() in Oncotarget (2018) Detailed reference viewed: 100 (4 UL)![]() del Sol Mesa, Antonio ![]() ![]() ![]() in Frontiers in Physiology (2018) Detailed reference viewed: 230 (13 UL)![]() del Sol Mesa, Antonio ![]() in Cell Reports (2018) Detailed reference viewed: 123 (3 UL)![]() ; ; Okawa, Satoshi ![]() in Cell Death and Differentiation (2018) Detailed reference viewed: 211 (14 UL)![]() Okawa, Satoshi ![]() ![]() in Nature Communications (2018) Detailed reference viewed: 220 (17 UL) |
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