Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Mohammed J Zaki"'
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e108011 (2014)
Novel sequences are DNA sequences present in an individual's genome but absent in the human reference assembly. They are predicted to be biologically important, both individual and population specific, and consistent with the known human migration pa
Externí odkaz:
https://doaj.org/article/771946ffddf341b0ada5e8733c97c728
Autor:
Amir H Qureshi, Vineet Chaoji, Dony Maiguel, Mohd Hafeez Faridi, Constantinos J Barth, Saeed M Salem, Mudita Singhal, Darren Stoub, Bryan Krastins, Mitsunori Ogihara, Mohammed J Zaki, Vineet Gupta
Publikováno v:
PLoS ONE, Vol 4, Iss 10, p e7627 (2009)
During atherogenesis and vascular inflammation quiescent platelets are activated to increase the surface expression and ligand affinity of the integrin alphaIIbbeta3 via inside-out signaling. Diverse signals such as thrombin, ADP and epinephrine tran
Externí odkaz:
https://doaj.org/article/662aa7611cca4803aa05925336fc84ff
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
The network embedding task is to represent a node in a network as a low-dimensional vector while incorporating the topological and structural information. Most existing approaches solve this problem by factorizing a proximity matrix, either directly
Externí odkaz:
https://doaj.org/article/38c58e98138a4281abfcd2505e5c429b
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 16:1-30
Domain-specific keyword extraction is a vital task in the field of text mining. There are various research tasks, such as spam e-mail classification, abusive language detection, sentiment analysis, and emotion mining, where a set of domain-specific k
Autor:
Bowen Wang, Zehai Wang, Atharva A Poundarik, Mohammed J Zaki, Richard S Bockman, Benjamin S Glicksberg, Girish N Nadkarni, Deepak Vashishth
Publikováno v:
J Clin Endocrinol Metab
Context Fracture risk is underestimated in people with type 2 diabetes (T2D). Objective To investigate the longitudinal relationship of glycated hemoglobin (HbA1c) and common medications on fracture risk in people with T2D. Methods This retrospective
Publikováno v:
ACM Transactions on Computing for Healthcare. 2:1-43
Although it has become easier for individuals to track their personal health data (e.g., heart rate, step count, and nutrient intake data), there is still a wide chasm between the collection of data and the generation of meaningful summaries to help
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
We propose an extension to the transformer neural network architecture for general-purpose graph learning by adding a dedicated pathway for pairwise structural information, called edge channels. The resultant framework - which we call Edge-augmented
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
IEEE Access, Vol 9, Pp 153266-153275 (2021)
Recently, deep learning models have emerged as promising methods for the diagnosis of different diseases. Cardiac disease is among the leading life-threatening diseases on a global scale. The aim of this paper is to propose an optimized Convolutional
Publikováno v:
Journal of Web Semantics. 75:100743