Collapserows r
Abstractly speaking, the function allows one to collapse the rows of a numeric matrix, e.g. by forming an average or selecting one representative row for each group of rows specified by a grouping variable (referred to as rowGroup ). The word "collapse" reflects the fact that the method yields a new matrix whose rows correspond to other rows of the original input data. WebNov 13, 2013 · The collapseRows function: Miller JA, Langfelder P, Cai C, Horvath S (2011) Strategies for optimally aggregating gene expression data: The collapseRows R function. Technical Report. (Submitted) WGCNA: a) Langfelder P, Horvath S (2008) WGCNA: an R package for Weighted Correlation Network Analysis. BMC. …
Collapserows r
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WebI have the following problem: I have three tibbles (in reality, a huge dataset), which for simplicity here are identical but in reality they are not: T_tib1 <- tibble( Geography = c("Worl... WebAug 4, 2011 · Results: We introduce the R function collapseRows that implements several collapsing methods and evaluate its performance in three applications. First, we study a …
WebThe Future. Future development of collapse will see an increased use of SIMD instructions to further increase performance. The impact of such instructions - visible in frameworks … Webe.g. by forming an average or selecting one representative row for each group of rows specified by a. grouping variable ( referred to as \ code { rowGroup }). The word …
WebI have the following problem: I have three tibbles (in reality, a huge dataset), which for simplicity here are identical but in reality they are not: T_tib1 <- tibble( Geography = … WebStrategies for aggregating gene expression data: The collapseRows R function Article Full-text available Aug 2011 Jeremy A Miller Chaochao Cai Peter Langfelder [...] Steve Horvath Genomic and...
Web## Read in and format all of the files to R. ## Note: the following section is the original code used to read in the data files. Since these files are too large, I have run this myself and saved everything as "startHMB.RData." The actual code starts at "START HERE" on the next page. m2h = read.csv("mouse_human_orthology.csv") rownames(m2h)=m2h[,2]
WebFind an Offender. Search for offenders using the Georgia Department of Corrections free online search tool. You can search for offenders currently serving in Georgia Department … reasons to challenge a willWebTo install this package, start R (version "4.2") and enter: if (!require ("BiocManager", quietly = TRUE)) install.packages ("BiocManager") BiocManager::install ("preprocessCore") For older versions of R, please refer to the appropriate Bioconductor release . Documentation Details Package Archives university of lynchburg men\u0027s soccerWebIt takes a dataframe, a vector of columns (or a single column), a vector of rows (or a single row), and the new value to set to it (which we'll default to NA). This function makes it easy to write outlier-replacement commands, which you'll see below. university of lynchburg medical schoolWebJul 31, 2014 · Part of R Language Collective Collective. 14. I need to summarize a data frame by some variables, ignoring the others. This is sometimes referred to as … reasons to change schoolsWebStrategies for aggregating gene expression data: the collapseRows R function. JA Miller, C Cai, P Langfelder, DH Geschwind, SM Kurian, DR Salomon, ... BMC bioinformatics 12 (1), 322, 2011. 319: 2011: Weighted gene coexpression network analysis: state of the art. reasons to change the australian flagWebpackage for R [5], and is presented as Additional file 1: the collapseRows function, while code for performing all of the above analyses is presented in Additional file 2: R code to perform analysis. Accompanying data files can be downloaded from the collapseRows website [6]. Our code was run using version 2.12.2 of R, although any reasons to choose msc marketingWebThese arrays were pre-processed with RMA, which includes normalization, summarization of probes to probesets, and background correction. Prior to further analysis, collapseRows R function (Miller et al., 2011) was used to convert and collapse the transcript abundance quantification detected by Affymetric probsets to mapped FANTOM-CAT IDs. reasons to change ssn