A Review on Large Scale Graph Processing Using Big Data Based Parallel Programming Models [PDF]
Anuraj Mohan, G Remya
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To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Reduction of Nonoperative Time Using the Induction Room, Parallel Processing, and Sugammadex: A Randomized Clinical Trial. [PDF]
Kaddoum R +7 more
europepmc +1 more source
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Parallel processing of sensory cue and spatial information in the dentate gyrus. [PDF]
Tuncdemir SN +8 more
europepmc +1 more source
Efficient parallel implementation of the lattice Boltzmann method on large clusters of graphic processing units [PDF]
Qingang Xiong +7 more
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Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer
Achmad Nurul Fauzie +2 more
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Parallel study on removal efficiency of pharmaceuticals and PFASs in advanced water treatment processes: Ozonation, GAC adsorption, and RO processes [PDF]
Hyun‐Seok Choe +3 more
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Processor-in-the-Loop implementation of an Adjusting Space Vector Pulse Width Modulation for Suppressing Zero-Sequence Circulating Current in Parallel PWM converters [PDF]
Ali Chebabhi +2 more
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