Yue Wang spends much of his time researching Cancer research, Artificial intelligence, Cell biology, Internal medicine and Experimental autoimmune encephalomyelitis. The various areas that Yue Wang examines in his Cancer research study include Cancer, Serous fluid, Pathology, CA15-3 and Comparative genomic hybridization. His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning, Magnetic resonance imaging, Maximization and Pattern recognition.
When carried out as part of a general Internal medicine research project, his work on Adverse effect is frequently linked to work in Viral load, therefore connecting diverse disciplines of study. His work focuses on many connections between Gastroenterology and other disciplines, such as Antibody, that overlap with his field of interest in Clinical endpoint and Lymphocyte. His biological study spans a wide range of topics, including Gene expression and Gene.
His primary areas of investigation include Artificial intelligence, Pattern recognition, Computational biology, Internal medicine and Gene. In his work, Gene regulatory network is strongly intertwined with Data mining, which is a subfield of Artificial intelligence. His studies deal with areas such as Artificial neural network, Magnetic resonance imaging and Cluster analysis as well as Pattern recognition.
His research integrates issues of Bioinformatics and Genomics in his study of Computational biology. His Internal medicine research is multidisciplinary, relying on both Endocrinology and Oncology. His Gene research is under the purview of Genetics.
Yue Wang focuses on Computational biology, Gene expression, Internal medicine, Artificial intelligence and Pattern recognition. His Computational biology research integrates issues from Deconvolution, Type I and type II errors, Proteomics, Test statistic and Metastasis. He has included themes like Molecular biology and Breast cancer in his Gene expression study.
His Internal medicine research incorporates elements of Gastroenterology and Oncology. His Gastroenterology study integrates concerns from other disciplines, such as Viremia, Clinical endpoint, Adverse effect and Neutralizing antibody. His Artificial intelligence research includes themes of Synapse, Sample and Neurite.
His primary areas of study are Computational biology, Proteomics, Breast cancer, Kidney disease and Internal medicine. His Computational biology study incorporates themes from Deconvolution, Cell signaling, Gene and Living systems. Yue Wang combines subjects such as Coronary artery disease, Anterior Descending Coronary Artery, Fatty streak and Autopsy with his study of Proteomics.
The study incorporates disciplines such as Genomics, Magnetic resonance imaging, Metastasis, Genetic heterogeneity and Survival analysis in addition to Breast cancer. His Internal medicine research is multidisciplinary, incorporating perspectives in Gastroenterology and Viremia. Yue Wang works mostly in the field of Gastroenterology, limiting it down to topics relating to Pneumonia and, in certain cases, Lymphocyte and Neutralizing antibody.
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Effectiveness of convalescent plasma therapy in severe COVID-19 patients.
Kai Duan;Bende Liu;Cesheng Li;Huajun Zhang.
Proceedings of the National Academy of Sciences of the United States of America (2020)
Proteogenomic characterization of human colon and rectal cancer
Bing Zhang;Jing Wang;Xiaojing Wang;Jing Zhu.
Nature (2014)
Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer
Wennuan Liu;Sari Laitinen;Sofia Khan;Mauno Vihinen.
Nature Medicine (2009)
Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer
Hui Zhang;Tao Liu;Zhen Zhang;Samuel H. Payne.
Cell (2016)
The properties of high-dimensional data spaces: implications for exploring gene and protein expression data
Robert Clarke;Habtom W. Ressom;Antai Wang;Jianhua Xuan.
Nature Reviews Cancer (2008)
Antiestrogen resistance in breast cancer and the role of estrogen receptor signaling
Robert Clarke;Minetta C Liu;Kerrie B Bouker;Zhiping Gu.
Oncogene (2003)
Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities.
Suhas Vasaikar;Chen Huang;Xiaojing Wang;Vladislav A. Petyuk.
Cell (2019)
Nuclear envelope dystrophies show a transcriptional fingerprint suggesting disruption of Rb–MyoD pathways in muscle regeneration
Marina Bakay;Zuyi Wang;Zuyi Wang;Gisela Melcon;Louis Schiltz.
Brain (2006)
Galectin-1 Deactivates Classically-Activated Microglia and Protects from Inflammation-Induced Neurodegeneration
Sarah C. Starossom;Ivan D. Mascanfroni;Jaime Imitola;Li Cao;Li Cao.
Immunity (2012)
Identification of Molecular Pathway Aberrations in Uterine Serous Carcinoma by Genome-wide Analyses
Elisabetta Kuhn;Ren Chin Wu;Ren Chin Wu;Bin Guan;Gang Wu.
Journal of the National Cancer Institute (2012)
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