Principal component analysis (PCA) plots for TempO-seq vs RNA-seq log 2 data.
| Title: | Principal component analysis (PCA) plots for TempO-seq vs RNA-seq log 2 data. |
|---|---|
| Authors: | Laura J. Word; Clinton M. Willis; Richard S. Judson; Logan J. Everett; Sarah E. Davidson-Fritz; Derik E. Haggard; Bryant A. Chambers; Jesse D. Rogers; Joseph L. Bundy; Imran Shah; Nisha S. Sipes; Joshua A. Harrill |
| Publication Year: | 2025 |
| Subject Terms: | Biochemistry; Genetics; Molecular Biology; Immunology; Developmental Biology; Cancer; Biological Sciences not elsewhere classified; transcriptomics technologies allow; different read depths; average pearson correlation; 76 &# 8211; gene ontologies annotated; cellular structure functions; pearson correlation 0; concordant expression levels; 90 – 0; 810 genes ); 290 genes within; principal component analysis; div >< p; calculating relative log; normalized expression data; seq data sets; seq rle data; seq data; ribosomal functions; ontologies associated; data acquisition; 480 genes; well correlated |
| Description: | This PCA is based on log 2 (expression per million + 1) (abbreviated to log 2 (EPM+1)) for 19,290 overlapping genes within TempO-seq and RNA-seq. Principal component 1 (PC1) explains nearly one third of the total variance and has a clear platform divergence for RNA-seq Human Protein Atlas data compared to TempO-seq Phase 1 and Phase 2 data. |
| Document Type: | still image |
| Language: | unknown |
| DOI: | 10.1371/journal.pone.0320862.g004 |
| Availability: | https://doi.org/10.1371/journal.pone.0320862.g004; https://figshare.com/articles/figure/Principal_component_analysis_PCA_plots_for_TempO-seq_vs_RNA-seq_log_sub_2_sub_data_/28995363 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.24B7C29E |
| Database: | BASE |