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Poisson-PDNN: Modeling non-uniform read distribution in RNA-seq data
Poisson-PDNN Modeling non-uniform distribution in RNA-seq data
2016/1/25
RNA-Seq is a powerful new technology to comprehensively analyze the transcriptome of any given cells. An important task in RNA-Seq data analysis is quantifying the expression levels of all transcripts...
Modeling Network Evolution Using Graph Motifs
Modeling Network Graph Motifs simulating network evolution
2011/6/16
Network structures are extremely important to the study of political science. Much of the data
in its sub elds are naturally represented as networks. This includes trade, diplomatic and con
ict
rel...
Inference and Modeling with Log-concave Distributions
Nonparametric density estimation shape constraint log-concave density Polya frequency function
2010/10/14
Log-concave distributions are an attractive choice for modeling and inference, for several reasons: The class of log-concave distributions contains most of the commonly used parametric distributions ...