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Identification and validation of a fivelncRNA prognostic signature related to Glioma using bioinformatics analysis

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To accurately predict the prognosis of glioma patients. Methods: A total of 541 samples from the TCGA cohort, 181 observations from the CGGA database and 91 samples from our cohort were included in our study. Long non-coding RNAs (LncRNAs) associated with glioma WHO grade were evaluated by weighted gene co-expression network analysis (WGCNA). |

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Identification and independent validation of a stable yield and thousand grain weight QTL on chromosome 6A of hexaploid wheat (Triticum aestivum L.)
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