WitrynarepExplore() Main function for exploratory data analysis: compute the distribution of lengths, clones, etc. vis() Visualise results of the exploratory analysis. Clonality analysis . repClonality() Clonality analysis of immune repertoires. vis() Visualise results of the clonality analysis. Clonotype … Witryna🧬 Immunarch by ImmunoMind: R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires - immunarch/vis.R at master · immunomind/immunarch ... {repExplore}}. #' @param .by Pass NA if you want to plot samples without grouping. #' #' You can pass a character vector with one or several …
NEWS - mran.microsoft.com
Witryna28 gru 2024 · A comprehensive framework for bioinformatics exploratory analysis of bulk and single-cell T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq) and single-cell sequencing (scRNAseq). … http://www.maths.bristol.ac.uk/R/web/packages/immunarch/immunarch.pdf harnstoff macrogol creme
immunarch: An R Package for Painless Bioinformatics Analysis of …
Witryna15 gru 2024 · immunarch--- Fast and Seamless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires in R Why immunarch?. Work with any type of data: single-cell, bulk, data tables, databases --- you name it. Community at the heart: ask questions, share knowledge and thrive in the community of almost 30,000 … WitrynaOutput from every function in immunarch can be visualised with a single function - vis. The vis automatically detects the type of the data and draws a proper visualisation. For example, output from the repOverlap function will be identified as repertoire overlap values and respective visualisation will be chosen without any additional arguments. … harnstoff med 4