CGGA mRNAseq_325 Gene Expression

<p><strong>Abstract:</strong></p> <p>The Chinese Glioma Datasets (CGGA) are comprehensive and valuable collections of data related to glioma, a type of brain tumor, originating from Chinese patients. The&nbsp;CGGA is a data portal for the storage and interactive exploration of cross-omics data, including nearly 2000 primary and recurrent glioma samples. This dataset&#39;s&nbsp;gene expression profile was measured experimentally using&nbsp;Agilent-014850 Whole Human Genome Microarray.&nbsp;The Sample IDs serve as unique identifiers for each sample.&nbsp;</p> <p><strong>Inspiration:</strong></p> <p>This dataset was uploaded to UBRITE for GTKB project.&nbsp;</p> <p><strong>Instruction:</strong></p> <p>z-normalization was performed on all the samples&nbsp;</p> <p><strong>Acknowledgments:</strong></p> <p>Zhao, Z., Zhang, KN., Wang, QW., et al. Chinese Glioma Genome Atlas (CGGA): A Comprehensive Resource with Functional Genomic Data from Chinese Glioma Patients (2021). Genomics, Proteomics &amp; Bioinformatics 19(1):1-12.</p> <p>Fang, S., Liang, J., Qian, T., et al. (2017). Anatomic Location of Tumor Predicts the Accuracy of Motor Function Localization in Diffuse Lower-Grade Gliomas Involving the Hand Knob Area. AMERICAN JOURNAL OF NEURORADIOLOGY. 38(10): 1990-1997.</p> <p>Wang, Y., Wang, Y., Fan, X., et al. (2017). Putamen involvement and survival outcomes in patients with insular low-grade gliomas. JOURNAL OF NEUROSURGERY. 126(6): 1788-1794.</p> <p><strong>U-BRITE last update:&nbsp;</strong>07/27/2023</p>