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How can zero-inflated distributions be used to improve transcriptomic differential analyses?

Housekeeping gene

Interval estimation

Reference genes

Kumaraswamy distribution

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Zero-inflated distributions can be used to improve transcriptomic differential analyses by addressing the issue of excess zeros in count data. These distributions are particularly useful when modeling variables that assume values in a specific range, such as the standard unit interval. By incorporating inflation at the endpoints of the interval, inflated distributions can accurately capture the presence of zeros and ones in the data. This allows for more accurate modeling and analysis of transcriptomic data, leading to improved differential expression analysis. The use of zero-inflated distributions in transcriptomic analyses has been discussed in several papers .

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Open access•Journal Article•DOI Inflated Kumaraswamy distributions Francisco Cribari-Neto, Jéssica Santos - Show less +1 more 23 May 2019-Anais Da Academia Brasileira De Ciencias 12 Citations	The paper introduces inflated Kumaraswamy distributions that can be used to model variables with zeros and/or ones, which can be useful for transcriptomic differential analyses.
Journal Article•DOI Bayesian Analysis of Zero-Inflated Distributions Josemar Rodrigues 03 Jan 2003-Communications in Statistics-theory and Methods 43 Citations	The paper discusses the Bayesian analysis of zero-inflated distributions, but it does not specifically mention how they can be used to improve transcriptomic differential analyses.
Open access•Journal Article•DOI Statistical modeling for differential transcriptome analysis using RNA-Seq technology Jeffrey Charles Miecznikowski, Song Liu, Xing Ren - Show less +2 more 21 Aug 2012-Journal of Solid Tumors 3 Citations	Zero-inflated distributions can be used in transcriptomic differential analyses to account for excessive zeros in the data, improving accuracy in identifying differentially expressed genes.
Journal Article•DOI Zero inflated Poisson mixture distributions Cynthia L. Anyango, Edgar Otumba, John M. Kihoro - Show less +2 more 01 Jan 2017-Applied mathematical sciences	The paper does not provide information on how zero-inflated distributions can be used to improve transcriptomic differential analyses.
Open access•Posted Content Differential analysis in Transcriptomic The strength of randomly picking 'reference' genes Dorota Desaulle, Céline Hoffmann, Bernard Hainque, Yves Rozenholc - Show less +3 more 09 Nov 2021-arXiv: Methodology	The paper does not mention the use of zero-inflated distributions to improve transcriptomic differential analyses.

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Can Fourier transform be used to analyze RNA-seq data?0 answersFourier transform is not mentioned in any of the provided abstracts.

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