Keimyung Medical Journal

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In Silico Analysis for Sphingolipid Metabolism-Related Genes in Human Kidney Clear Cell Carcinoma Using The Cancer Genome Atlas.

Woo-Jae Park, Jee Young Park, Taeg Kyu Kwon, Jong-Wook Park, Shin Kim

Keimyung Med J. 2020;39(1):14-22. Published online June 2, 2020
DOI: https://doi.org/10.46308/kmj.2020.00101

In Silico Analysis for Sphingolipid Metabolism-Related Genes in Human Kidney Clear Cell Carcinoma Using The Cancer Genome Atlas.

Woo-Jae Park, Jee Young Park, Taeg Kyu Kwon, Jong-Wook Park, Shin Kim

Keimyung Medical Journal. 2020;39(1):14-22

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Bioinformatic Exploration for Prognostic Significance of Sphingolipid Metabolism-Related Genes in Invasive Ductal Carcinoma Using the Cancer Genome Atlas Cohort

Su-Jeong Kim, Jae-Ho Lee, Woo-Jae Park, Shin Kim

International Journal of General Medicine. 2021;Volume 14:4423-4434

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Identification of co-expression hub genes for ferroptosis in kidney renal clear cell carcinoma based on weighted gene co-expression network analysis and The Cancer Genome Atlas clinical data

Shengxian Li, Ximei Xu, Ruirui Zhang, Yong Huang

Scientific Reports. 2022;12(1):

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A Novel Prognostic Model for Clear Cell Renal Cell Carcinoma with Differentially Expressed Immune-related lncRNA Pairs Based on the Cancer Genome Atlas

Chen Zhao, Kewei Xiong, Fengming Liu, Xiangpan Li

. 2021;

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Identification of Tumor Microenvironment-Related Genes in Kidney Renal Clear Cell Carcinoma Patients via Bioinformatic Analysis

Rongjiong Zheng, Yaosen SHao, Mingming Wang, Yeli Tang, Meiling Hu

. 2021;

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Comprehensive molecular characterization of clear cell renal cell carcinoma

Nature. 2013;499(7456):43-49

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Predictive value of m1A-related genes in kidney renal clear cell carcinoma