DEswan explore linear and non linear relationships between a quantitative trait (l) and one or more features. Considering a vector l of k unique values, we iteratively use l k as the center of …

This 1st version of the DEswan vignette briefly describes how to use this package to analyze the links between a quantitative trait (qt) and high dimensional datasets such as -omics data. Here …

DEswan explore linear and non linear relationships between a quantitative trait (l) and one or more features. Considering a vector l of k unique values, we iteratively use l k as the center of …

Differential Expression - Sliding Window ANalysis (DE-SWAN) an optional Vector - window centers. Default is quantile (qt, probs = seq (.1,.9,.1)) an optional Numeric - size of each …

2020年10月5日 · DEswan: Differential Expression - Sliding Window ANalysis (DE-SWAN) nsignif.DEswan: Calculate number of significant variables for a set of... q.DEswan: caculate …

2024年9月9日 · 为了能捕捉到特定时间点发生的实质性变化，全面地了解人类衰老期间多组学分析的变化，研究者采用了一种改进的DE-SWAN算法。 在衰老过程中，数千种分子表现出不断变 …

Abram de Swaan (Dutch pronunciation: [ˈaːbrɑm də ˈsʋaːn]; born 8 January 1942) is a Dutch essayist, sociologist and professor emeritus from the University of Amsterdam. In 1996, he …

#' Differential Expression - Sliding Window ANalysis (DE-SWAN) #' @param #' data.df: a data Frame - columns are variables and rows are samples (same order as qt and covariates)

2020年10月5日 · Run a Differential Expression - Sliding Window ANalysis (DEswan) as described by Lehallier et al. (https://www.biorxiv.org/content/10.1101/751115v1) You can install DEswan …

DE-SWAN compares protein levels between groups of individuals in parcels of 10 years (e.g., 30–40 years compared to 40–50 years). DE-SWAN identifies linear and non-linear changes …