Fei Wang mostly deals with Artificial intelligence, Cell biology, Neuroscience, Machine learning and Myosin. His Artificial intelligence study combines topics in areas such as Graph, Non-negative matrix factorization, Data mining and Pattern recognition. Fei Wang works mostly in the field of Cell biology, limiting it down to concerns involving Embryonic stem cell and, occasionally, Cellular differentiation.
Neuroscience is frequently linked to Schizophrenia in his study. His research investigates the connection between Myosin and topics such as Actin that intersect with issues in Cytoskeleton. His biological study spans a wide range of topics, including Magnetic resonance imaging, Central nervous system and Brain mapping.
Fei Wang mainly investigates Artificial intelligence, Machine learning, Internal medicine, Neuroscience and Data mining. The various areas that Fei Wang examines in his Artificial intelligence study include Computer vision and Pattern recognition. His study connects Endocrinology and Internal medicine.
Neuroscience is closely attributed to Schizophrenia in his work.
Fei Wang focuses on Artificial intelligence, Machine learning, Chemical engineering, Internal medicine and Deep learning. His studies deal with areas such as Graph, MEDLINE and Pattern recognition as well as Artificial intelligence. His Chemical engineering study combines topics from a wide range of disciplines, such as Supercapacitor and Electrochemistry.
His Electrochemistry study results in a more complete grasp of Electrode. His studies in Internal medicine integrate themes in fields like Major depressive disorder and Oncology. His Major depressive disorder study is associated with Neuroscience.
Fei Wang spends much of his time researching Artificial intelligence, Chemical engineering, Data science, Machine learning and Major depressive disorder. As part of one scientific family, Fei Wang deals mainly with the area of Artificial intelligence, narrowing it down to issues related to the MEDLINE, and often Coronavirus disease 2019. His Chemical engineering research includes themes of Faraday efficiency and Electrochemistry.
His Machine learning research is multidisciplinary, incorporating elements of Retrospective cohort study and News aggregator. The concepts of his Major depressive disorder study are interwoven with issues in Bipolar disorder, First episode, Internal medicine, Resting state fMRI and Prefrontal cortex. His Bipolar disorder research is multidisciplinary, relying on both White matter and Oncology.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Reversion of the Malignant Phenotype of Human Breast Cells in Three-Dimensional Culture and In Vivo by Integrin Blocking Antibodies
V.M. Weaver;O.W. Petersen;F. Wang;C.A. Larabell.
Journal of Cell Biology (1997)
Deep learning for healthcare: review, opportunities and challenges.
Riccardo Miotto;Fei Wang;Shuang Wang;Xiaoqian Jiang.
Briefings in Bioinformatics (2018)
Label Propagation through Linear Neighborhoods
Fei Wang;Changshui Zhang.
IEEE Transactions on Knowledge and Data Engineering (2008)
Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN
Min Zhao;Bing Song;Jin Pu;Teiji Wada.
Reciprocal interactions between β1-integrin and epidermal growth factor receptor in three-dimensional basement membrane breast cultures: A different perspective in epithelial biology
Fei Wang;Valerie M. Weaver;Ole W. Petersen;Carolyn A. Larabell.
Proceedings of the National Academy of Sciences of the United States of America (1998)
Divergent signals and cytoskeletal assemblies regulate self-organizing polarity in neutrophils.
Jingsong Xu;Fei Wang;Alexandra Van Keymeulen;Alexandra Van Keymeulen;Paul Herzmark.
Material properties of the cell dictate stress-induced spreading and differentiation in embryonic stem cells
Farhan Chowdhury;Sungsoo Na;Sungsoo Na;Dong Li;Yeh Chuin Poh.
Nature Materials (2010)
Rac and Cdc42 play distinct roles in regulating PI(3,4,5)P3 and polarity during neutrophil chemotaxis.
Supriya Srinivasan;Fei Wang;Suzana Glavas;Alexander Ott.
Journal of Cell Biology (2003)
Lipid products of PI(3)Ks maintain persistent cell polarity and directed motility in neutrophils.
Fei Wang;Paul Herzmark;Orion D. Weiner;Supriya Srinivasan.
Nature Cell Biology (2002)
The Epstein-Barr virus LMP1 gene product induces A20 zinc finger protein expression by activating nuclear factor kappa B.
C. D. Laherty;Hong Ming Hu;A. W. Opipari;F. Wang.
Journal of Biological Chemistry (1992)
Profile was last updated on December 6th, 2021.
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