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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

The Functions of Non-coding RNAs in rRNA Regulation
Qi Yan1, Chengming Zhu1, Shouhong Guang1,2* and Xuezhu Feng1* 1Hefei National Laboratory for Physical Sciences at the Microscale, School of Life Sciences, University of Science and Technology of China, Hefei, China 2CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Hefei, China Ribosomes are ribonucleoprotein machines that decode the genetic information embedded in mRNAs into polypeptides. Ribosome biogenesis is tightly coordinated and controlled from the transcription of pre-rRNAs to the assembly of ribosomes. Defects or disorders in rRNA production result in a number of human ri...
Source: Frontiers in Genetics - April 4, 2019 Category: Genetics & Stem Cells Source Type: research