![]() Some examples where CytoTRACE may be useful, include: More information on why you should use CytoTRACE and how it works is provided below.ĬytoTRACE was developed to predict differentiaton states in scRNA-seq data without any prior information. We have validated CytoTRACE on ~150K single-cell transcriptomes spanning 315 cell phenotypes, 52 lineages, 14 tissue types, 9 scRNA-seq platforms, and 5 species. CytoTRACE leverages a simple, yet robust, determinant of developmental potential-the number of detectably expressed genes per cell, or gene counts. tissue type, scRNA-seq platform, and species. It is capable of inferring the direction of differentiation without any prior knowledge and is robust to differences in dataset characteristics, e.g. I still have so many questions, is there someone I can reach out to for help?ĬytoTRACE (Cellular ( Cyto) Trajectory Reconstruction Analysis using gene Counts and Expression) is a computational method that predicts the relative differentiation state of cells from single-cell RNA-sequencing data.How does sequencing depth, drop-out, and other technical factors in scRNA-seq data affect the number of detectably expressed genes? CytoTRACE leverages single-cell gene counts.Are there situations where CytoTRACE may not work?.Does CytoTRACE work with different platforms, tissues, and species?. ![]() What is the file size limit to run CytoTRACE on the website? My data appears to be too large to analyze on the website.How should expression data be normalized?. ![]()
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