The authors are investigating interactions between various genes involved in Fragile X syndrome, a disease in which there is aberrant production of the FMRP protein. FMRPis “most commonly found in the brain, is
## check if all gene names are the same (using the first matrix as a reference ## for the others) return(all(sapply(gene_names, FUN = identical, gene_names[[1]]))) } #This function outputs a table of mean and median transcripts and expressed genes for every sample in our data set...
# binarize the matrixindata@x[indata@x > 0] <- 1#barcodes:format cell infocellinfo <- read.table("filtered_peak_bc_matrix/barcodes.tsv")row.names(cellinfo) <- cellinfo$V1names(cellinfo) <- "cells"# format peak ...
The authors are investigating interactions between various genes involved in Fragile X syndrome, a disease in which there is aberrant production of the FMRP protein. FMRP is “most commonly found in the brain, is essential for normal cognitive development and female reproductive function. Mutations of...
我们可以向pbmc对象中添加人类基因组的gene的注释，下游函数（FUNCTION）就可以直接从seurat对象中提取gene...
Creates a local compute context object. This is the main generator for S4 class RxLocalSeq. Computations using rxExec will be processed sequentially. This is the default compute context.
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Introduction Systematic gene perturbation by clustered regularly interspaced short palindromic re- peats (CRISPR) is a technological breakthrough for understanding gene function in high-throughput. The wide application of this system is emphasized by the easy access to reagents, scalability, as well as ...
We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
Result: We propose a peak calling algorithm, Weighted Analysis of ChIP-seq (WACS), which is an extension of the well-known peak caller MACS2. There are two main steps in WACS: First, weights are estimated for each control using non-negative least squares regression. The goal is to ...