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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
The Bench Scientist's Guide To Statistical Analysis Of Rna-Seq Data, Craig R. Yendrek, Elizabeth A. Ainsworth, Jyothi Thimmapuram
The Bench Scientist's Guide To Statistical Analysis Of Rna-Seq Data, Craig R. Yendrek, Elizabeth A. Ainsworth, Jyothi Thimmapuram
Cyber Center Publications
RNA sequencing (RNA-Seq) is emerging as a highly accurate method to quantify transcript abundance. However, analyses of the large data sets obtained by sequencing the entire transcriptome of organisms have generally been performed by bioinformatics specialists. Here we provide a step-by-step guide and outline a strategy using currently available statistical tools that results in a conservative list of differentially expressed genes. We also discuss potential sources of error in RNA-Seq analysis that could alter interpretation of global changes in gene expression.
On The Fundamentals Of Stochastic Spatial Modeling And Analysis Of Wireless Networks And Its Impact To Channel Losses, Mouhamed Abdulla
On The Fundamentals Of Stochastic Spatial Modeling And Analysis Of Wireless Networks And Its Impact To Channel Losses, Mouhamed Abdulla
Publications and Scholarship
With the rapid evolution of wireless networking, it becomes vital to ensure transmission reliability, enhanced connectivity, and efficient resource utilization. One possible pathway for gaining insight into these critical requirements would be to explore the spatial geometry of the network. However, tractably characterizing the actual position of nodes for large wireless networks (LWNs) is technically unfeasible. Thus, stochastical spatial modeling is commonly considered for emulating the random pattern of mobile users. As a result, the concept of random geometry is gaining attention in the field of cellular systems in order to analytically extract hidden features and properties useful for assessing …