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| 1 |
SERPINE1 as an Independent Prognostic Marker and Therapeutic Target for Nicotine-Related Oral Carcinoma
Xiaopeng Guo, Zhen Sun, Huarong Chen, Junjun Ling, Houyu Zhao, Aoshuang Chang, Xianlu Zhuo
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| 2 |
Identification of Hub Genes in the Pathogenesis of Ischemic Stroke Based on Bioinformatics Analysis
Xitong Yang, Shanquan Yan, Pengyu Wang, Guangming Wang
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| 3 |
Identification of Key Genes and Pathways in Peripheral Blood Mononuclear Cells of Type 1 Diabetes Mellitus by Integrated Bioinformatics Analysis
Xing Li, Mingyu Liao, Jiangheng Guan, Ling Zhou, Rufei Shen, Min Long, Jiaqing Shao
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| 4 |
Whole-Genome and Transcriptome Sequencing Identified NOTCH2 and HES1 as Potential Markers of Response to Imatinib in Desmoid Tumor (Aggressive Fibromatosis): A Phase II Trial Study
Joonha Kwon, Jun Hyeong Lee, Young Han Lee, Jeeyun Lee, Jin-Hee Ahn, Se Hyun Kim, Seung Hyun Kim, Tae Il Kim, Kum-Hee Yun, Young Suk Park, Jeong Eun Kim, Kyu Sang Lee, Jung Kyoon Choi, Hyo Song Kim
Cancer Res Treat.2022;54(4):1240-1255. Published online 2022 January 17
DOI: http://dx.doi.org/10.4143/crt.2021.1194
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| 5 |
Signature of arylacetamide deacetylase expression is associated with prognosis and immune infiltration in ovarian cancer
Jianyang Feng, Hong He
Obstet Gynecol Sci.2022;65(1):52-63. Published online 2022 January 15
DOI: http://dx.doi.org/10.5468/ogs.21237
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| 6 |
Identification of Differentially-Methylated Genes and Pathways in Patients with Delayed Cerebral Ischemia Following Subarachnoid Hemorrhage
Bong Jun Kim, Dong Hyuk Youn, In Bok Chang, Keunsoo Kang, Jin Pyeong Jeon
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| 7 |
Cluster Analysis of Inhalant Allergens in South Korea: A Computational Model of Allergic Sensitization
Dong-Kyu Kim, Young-Sun Park, Kyung-Joon Cha, Daeil Jang, Seungho Ryu, Kyung Rae Kim, Sang-Heon Kim, Ho Joo Yoon, Seok Hyun Cho
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| 8 |
Imaging Informatics: A New Horizon for Radiologyin the Era of Artificial Intelligence, Big Data, and Data Science
Jong Hyo Kim
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| 9 |
Detection of Innate and Artificial Mitochondrial DNA Heteroplasmy by Massively Parallel Sequencing: Considerations for Analysis
Moon-Young Kim, Sohee Cho, Ji Hyun Lee, Hee Jin Seo, Soong Deok Lee
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| 10 |
Comparison of differences in microbial compositions between negative controls and subject samples with varying analysis configurations
Hyojung Kim, Sang Pyo Lee, Shin Myung Kang, Sung-Yoon Kang, Sungwon Jung, Sang Min Lee
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| 11 |
Medulloblastoma in the Molecular Era
Claudia Miranda Kuzan-Fischer, Kyle Juraschka, Michael D. Taylor
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| 12 |
Machine Learning to Improve the Effectiveness of ANRS in Predicting HIV Drug Resistance
Yashik Singh
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| 13 |
Signature Genes in Macrodactyly through Transcriptome Network Analysis Reveal their Association of Lipid Metabolism
Jeong-Woo Choi, Hyun-Joo Lee, Ji Won Oh
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| 14 |
Identification of Maturity-Onset Diabetes of the Young Caused by Glucokinase Mutations Detected Using Whole-Exome Sequencing
Eun-Hee Cho, Jae Woong Min, Sun Shim Choi, Hoon Sung Choi, Sang-Wook Kim
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