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The IDH somatic mutation status is an important basis for the diagnosis and classification of gliomas. We proposed a "6-Step" general radiomics model to noninvasively predict the IDH mutation status by simultaneously tuning combined multi-sequence MRI and optimizing the full radiomics processing pipeline. Radiomic features (n = 3776) were extracted from multi-sequence MRI (T1, T2, FLAIR, and T1Gd) in low-grade gliomas (LGGs), and a total of 45,360 radiomics pipeline were investigated according to different settings. The predictive ability of the general radiomics model was evaluated with regards to accuracy, stability, and efficiency. Based on numerous experiments, we finally reached an optimal pipeline for classifying IDH mutation status, namely the T2+FLAIR combined multi-sequence with the wavelet image filter, mean data normalization, PCC dimension reduction, RFE feature selection, and SVM classifier. The mean and standard deviation of AUC, accuracy, sensitivity, and specificity were 0.873 ± 0.05, 0.876 ± 0.09, 0.875 ± 0.11, and 0.877 ± 0.15, respectively. Furthermore, 14 radiomic features that best distinguished the IDH mutation status of the T2+FLAIR multi-sequence were analyzed, and the gray level co-occurrence matrix (GLCM) features were shown to be of high importance. Apart from the promising prediction of the molecular subtypes, this study also provided a general tool for radiomics investigation. [ABSTRACT FROM AUTHOR]

GATA is a transcription factor that exerts a vital function in plant growth and development, physiological metabolism, and environmental responses. However, the GATA gene family has rarely been studied in Tartary buckwheat since the completion of its genome. This study used bioinformatics methods to identify GATA genes of Tartary buckwheat and to analyze their subfamily classification, structural composition, and developmental evolution, as well as to discuss the expression patterns of FtGATA genes in different subfamilies. The twenty-eight identified FtGATA genes in the Tartary buckwheat genome were divided into four subfamilies and distributed on eight chromosomes. One pair of tandem repeat genes and eight pairs of fragments were found in chromosome mapping. Spatiotemporal expression patterns of eight FtGATA genes in different subfamilies indicated that the FtGATA gene family has regulatory roles in tissue specificity, fruit development, abiotic stress, and hormonal responses. This study creates a theoretical and scientific foundation for further research on the evolutionary relationship and biological function of FtGATA. [ABSTRACT FROM AUTHOR]