Her primary areas of study are Nanotechnology, Optoelectronics, Artificial intelligence, Computer network and Genetics. Di Wu works mostly in the field of Nanotechnology, limiting it down to topics relating to Doping and, in certain cases, Graphene nanoribbons, Electron mobility, Monolayer, Chemical vapor deposition and Graphene. Her Optoelectronics research integrates issues from Raman spectroscopy and Near-infrared spectroscopy.
As part of the same scientific family, Di Wu usually focuses on Artificial intelligence, concentrating on Pattern recognition and intersecting with Machine learning and Embedding. Her work carried out in the field of Computer network brings together such families of science as Distributed computing, Computation offloading, Multi channel, Communication channel and Vehicular ad hoc network. Her work on Genome-wide association study, Quantitative trait locus, In silico and Human genetics as part of general Genetics study is frequently linked to Drug repositioning, bridging the gap between disciplines.
The scientist’s investigation covers issues in Condensed matter physics, Computer network, Optoelectronics, Distributed computing and Thin film. Her research is interdisciplinary, bridging the disciplines of Magnetization and Condensed matter physics. Her Computer network study frequently draws connections between related disciplines such as Wireless.
Her Distributed computing study frequently links to adjacent areas such as Cloud computing. The Thin film study combines topics in areas such as Ferroelectricity and Dielectric.
Her scientific interests lie mostly in Artificial intelligence, Cancer research, Severe acute respiratory syndrome coronavirus 2, Virology and Edge computing. Her research integrates issues of Machine learning and Computer vision in her study of Artificial intelligence. Her Cancer research research is multidisciplinary, incorporating elements of Lung cancer, Metastasis and Cell growth.
Her study in Edge computing is interdisciplinary in nature, drawing from both Distributed computing and Edge device. Her Distributed computing research includes themes of Enhanced Data Rates for GSM Evolution, Computation offloading and Key. Her Edge device research includes elements of Real-time computing and Resource allocation.
Di Wu mostly deals with Severe acute respiratory syndrome coronavirus 2, Virology, Pandemic, 2019-20 coronavirus outbreak and Pneumonia. Her work investigates the relationship between Virology and topics such as RNA that intersect with problems in Viral replication. Di Wu combines subjects such as Viral immunology, Dengue virus and Gene expression profiling with her study of 2019-20 coronavirus outbreak.
The various areas that she examines in her Pneumonia study include HEK 293 cells and Transfection. Her research in Outbreak intersects with topics in Global health, Severity of illness and Lactate dehydrogenase. Di Wu integrates several fields in her works, including Coronavirus, RNA Helicase A, Ferritin, Internal medicine, Gastroenterology and CD8.
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limma powers differential expression analyses for RNA-sequencing and microarray studies
Matthew E. Ritchie;Belinda Phipson;Di Wu;Yifang Hu.
Nucleic Acids Research (2015)
Clinical and immunological features of severe and moderate coronavirus disease 2019.
Guang Chen;Di Wu;Wei Guo;Yong Cao.
Journal of Clinical Investigation (2020)
Genetics of rheumatoid arthritis contributes to biology and drug discovery
Yukinori Okada;Yukinori Okada;Di Wu;Di Wu;Di Wu;Gosia Trynka;Gosia Trynka;Towfique Raj;Towfique Raj.
Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers
Elgene Lim;Elgene Lim;Francois Vaillant;Di Wu;Di Wu;Natasha C Forrest.
Nature Medicine (2009)
Control of mammary stem cell function by steroid hormone signalling
Marie Liesse Asselin-Labat;François Vaillant;Julie M. Sheridan;Bhupinder Pal.
The SARS-CoV-2 outbreak: What we know.
Di Wu;Tiantian Wu;Qun Liu;Zhicong Yang.
International Journal of Infectious Diseases (2020)
Isolation and Culture of Epithelial Progenitors and Mesenchymal Stem Cells from Human Endometrium
Caroline Eve Gargett;Kjiana Elkje Schwab;Rachel May Zillwood;Hong Nguyen.
Biology of Reproduction (2009)
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
Xueshi Hou;Yong Li;Min Chen;Di Wu.
IEEE Transactions on Vehicular Technology (2016)
Camera: a competitive gene set test accounting for inter-gene correlation
Di Wu;Gordon K. Smyth.
Nucleic Acids Research (2012)
A library of atomically thin metal chalcogenides.
Jiadong Zhou;Junhao Lin;Xiangwei Huang;Yao Zhou.
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