Modeling fragment count overdispersion
WebY. Kerboua Ziari is an academic researcher from University of Science and Technology Houari Boumediene. The author has contributed to research in topic(s): Cutaneous leishmaniasis & Poisson regression. The author has an hindex of 1, co-authored 1 publication(s) receiving 2 citation(s). Web1 feb. 2024 · Differential expression of genes and transcripts was determined using CuffDiff2 ( Trapnell et al., 2013) with all three biological replicates, a method that accounts for count overdispersion relative to what would be expected under a Poisson model.
Modeling fragment count overdispersion
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WebMost statisticians consider overdispersion the key problem when considering count model fit. That is, when thinking of the fit of a count model, an analyst typically attempts to … Web1 mei 2012 · Based on popularity of the generalized Poisson distribution in regression count models and of Poisson INGARCH models in time series analysis, we introduce a …
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Web7 jun. 2015 · [01:50:19] Inspecting maps and determining fragment length distributions. [02:00:32] Modeling fragment count overdispersion. Is it important warning ? and how … Web7 jan. 2024 · The Conway–Maxwell–Poisson (COM-Poisson or CMP) distribution is a flexible model for count data that relaxes the equi-dispersion assumption to capture any degree of data dispersion. The COM-Poisson model was shown to be useful for modeling over-dispersed (see, for example, [14,15]) and under-dispersed (see, for example, …
WebAn alternative approach to modeling over-dispersion in count data is to start from a Poissonregressionmodelandaddamultiplicativerandomeffectθtorepresentunobserved …
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