I am interested in comparing the distribution of my samples (individually) with that of the model of my entire dataset (comparing using KS test with simulated/boostraped data). I am hoping to rationalise exclusion of several samples by this method. Where can I find the estimated mean, variance for the model fitted to my data within the program? I hope someone can point me in the right direction. Also apologies if my description is inaccurate/unintelligible.
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The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...-
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The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...-
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