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An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules
Conclusion Considering the heterogeneity and complexity of ovarian cancer, we demonstrated a new method to predict the prognosis of ovarian cancer based on the clustering information and gene co-expression network in each subtype of cancer patients. We divided the ovarian cancer data into three subtypes by clustering analysis and we found that the survival risks in these three subtypes were significantly different. We mined the important communities based on the co-expression networks in each subtype. There are 50, 73, and 92 communities in the first, second and third subtype, respectively. Next, we constructed a new ense...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research

Systems Biology Approaches and Precision Oral Health: A Circadian Clock Perspective
Conclusion Most head and neck pathologies show a broad cellular heterogeneity making it difficult to achieve an accurate diagnosis and efficient treatment (Graf and Zavodszky, 2017; Lo Nigro et al., 2017). Single cell analysis of circadian omics (Lande-Diner et al., 2015; Abraham et al., 2018), may be a crucial tool needed in the future to fully understand the circadian control of head and neck diseases. It becomes more obvious that there is only a small genetic component but a largely unknown epigenetics and/or environmental component for most of the head and neck pathologies (Moosavi and Motevalizadeh Ardekani, 2016; He...
Source: Frontiers in Physiology - April 15, 2019 Category: Physiology Source Type: research