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pro vyhledávání: '"Aditham A"'
Publikováno v:
In Neurobiology of Disease September 2023 185
Akademický článek
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Publikováno v:
Neurobiology of Disease, Vol 185, Iss , Pp 106243- (2023)
Background: Approximately one third of recently diagnosed Parkinson's disease (PD) patients experience cognitive decline. The nucleus basalis of Meynert (NBM) degenerates early in PD and is crucial for cognitive function. The two main NBM white matte
Externí odkaz:
https://doaj.org/article/0c423251a85d4a40aca013a5458408b5
Autor:
Aditham, Abhishek J.
Synthetic mRNA has emerged as a promising therapeutic platform for the treatment of a wide variety of diseases. Despite clinical demonstrations of mRNA for SARS-CoV-2 vaccines, mRNAs remain limited in application by their susceptibility to nucleases
Externí odkaz:
https://hdl.handle.net/1721.1/157875
In big data systems, the infrastructure is such that large amounts of data are hosted away from the users. In such a system information security is considered as a major challenge. From a customer perspective, one of the big risks in adopting big dat
Externí odkaz:
http://arxiv.org/abs/1612.01587
Security and distributed infrastructure are two of the most common requirements for big data software. But the security features of the big data platforms are still premature. It is critical to identify, modify, test and execute some of the existing
Externí odkaz:
http://arxiv.org/abs/1611.07649
Big data platforms such as Hadoop and Spark are being widely adopted both by academia and industry. In this paper, we propose a runtime intrusion detection technique that understands and works according to the properties of such distributed compute p
Externí odkaz:
http://arxiv.org/abs/1611.07392
Autor:
Yichun He, Xin Tang, Jiahao Huang, Jingyi Ren, Haowen Zhou, Kevin Chen, Albert Liu, Hailing Shi, Zuwan Lin, Qiang Li, Abhishek Aditham, Johain Ounadjela, Emanuelle I. Grody, Jian Shu, Jia Liu, Xiao Wang
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
In situ transcriptomics maps RNA expression patterns across intact tissues taking our understanding of gene expression to a new level. Here, the authors present a computational method that uncovers gene expression, cell niche, and tissue region patte
Externí odkaz:
https://doaj.org/article/ff58b316e7154332a514271fdae78380
Autor:
Aditham, Arjun K., Markin, Craig J., Mokhtari, Daniel A., DelRosso, Nicole, Fordyce, Polly M.
Publikováno v:
In Cell Systems 17 February 2021 12(2):112-127
Akademický článek
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