D
Di Wu
Researcher at Northeast Agricultural University
Publications - 1439
Citations - 69664
Di Wu is an academic researcher from Northeast Agricultural University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 87, co-authored 965 publications receiving 48697 citations. Previous affiliations of Di Wu include University of California, Los Angeles & Kansas State University.
Papers
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The SARS-CoV-2 outbreak: What we know.
TL;DR: The epidemiology, clinical manifestations, diagnosis, treatments and preventions of this new type of coronavirus Covid-19 are aggregated and consolidates.
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Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
TL;DR: An interesting relationship among the communication capability, connectivity, and mobility of vehicles is unveiled, and the characteristics about the pattern of parking behavior are found, which benefits from the understanding of utilizing the vehicular resources.
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Control of mammary stem cell function by steroid hormone signalling
Marie Liesse Asselin-Labat,François Vaillant,Julie Sheridan,Bhupinder Pal,Di Wu,Di Wu,Evan R. Simpson,Hisataka Yasuda,Gordon K. Smyth,Gordon K. Smyth,T. John Martin,Geoffrey J. Lindeman,Geoffrey J. Lindeman,Geoffrey J. Lindeman,Jane E. Visvader,Jane E. Visvader +15 more
TL;DR: It is demonstrated that mouse mammary stem cells (MaSCs) are highly responsive to steroid hormone signalling, despite lacking the oestrogen and progesterone receptors, and indicates that breast cancer chemoprevention may be achieved, in part, through suppression of MaSC function.
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Camera: a competitive gene set test accounting for inter-gene correlation
Di Wu,Gordon K. Smyth +1 more
TL;DR: Analysis of breast cancer data shows that CAMERA recovers known relationships between tumor subtypes in very convincing terms and is shown to control the type I error rate correctly regardless of inter-gene correlations, yet retains excellent power for detecting genuine differential expression.
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Sequence determinants of improved CRISPR sgRNA design
Han Xu,Tengfei Xiao,Chen-Hao Chen,Wei Li,Clifford A. Meyer,Qiu Wu,Qiu Wu,Di Wu,Le Cong,Le Cong,Feng Zhang,Feng Zhang,Jun Liu,Myles Brown,Myles Brown,X. Shirley Liu +15 more
TL;DR: This work derived a new sequence model for predicting sgRNA efficiency in CRISPR/Cas9 knockout experiments and suggested new features including a preference for cytosine at the cleavage site that facilitate the genome-wide design of improved sg RNA for both knockout and CRISpri/a studies.