Anna Vilborg
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View article: Supplementary Figure S1 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Supplementary Figure S1 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
Supplementary Figure S1) To assess the robustness and reproducibility of the CRC prediction models, we evaluated their performance on samples processed under varying conditions. This figure shows the performance of the final CRC model, aft…
View article: Supplementary Table S1 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Supplementary Table S1 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
Supplementary Table S1. Training set sensitivity and specificity across confounders
View article: Supplementary Table S2 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Supplementary Table S2 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
Supplementary Table S2. Validation set sensitivity and specificity across confounders
View article: Supplementary Methods S1 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Supplementary Methods S1 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
supplementary methods
View article: Data from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Data from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
Purpose:Colorectal cancer is the second leading cause of cancer-related deaths worldwide, and early detection significantly improves treatment outcomes, but existing blood-based tests often have limited sensitivity in early-stage disease. …
View article: Supplementary Figure S2 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Supplementary Figure S2 from Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
Supplementary Figure S2. a) Model scores increase with overall stage (left panel), T stage (middle panel) and N stage (right panel). Statistical significance is determined using a one-sided Mann-Whitney U-test. b) Overall sensitivity and s…
View article: Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence
Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial Intelligence Open
Purpose: Colorectal cancer is the second leading cause of cancer-related deaths worldwide, and early detection significantly improves treatment outcomes, but existing blood-based tests often have limited sensitivity in early-stage disease.…
View article: Caution needs to be taken when assigning transcription start sites to ends of protein-coding genes: a rebuttal
Caution needs to be taken when assigning transcription start sites to ends of protein-coding genes: a rebuttal Open
Naturally occurring stress-induced transcriptional readthrough is a recently discovered phenomenon, in which stress conditions lead to dramatic induction of long transcripts as a result of transcription termination failure. In 2015, we rep…
View article: A robust targeted sequencing approach for low input and variable quality DNA from clinical samples
A robust targeted sequencing approach for low input and variable quality DNA from clinical samples Open
Next-generation deep sequencing of gene panels is being adopted as a diagnostic test to identify actionable mutations in cancer patient samples. However, clinical samples, such as formalin-fixed, paraffin-embedded specimens, frequently pro…
View article: Comparative analysis reveals genomic features of stress-induced transcriptional readthrough
Comparative analysis reveals genomic features of stress-induced transcriptional readthrough Open
Significance Cells and organisms live in constantly changing environments. Therefore, cells have evolved complex mechanisms to cope with physiological and environmental stresses. Many of these mechanisms involve transcriptional responses f…
View article: A Robust Targeted Sequencing Approach for Low Input and Variable Quality DNA from Clinical Samples
A Robust Targeted Sequencing Approach for Low Input and Variable Quality DNA from Clinical Samples Open
Next-generation deep sequencing of gene panels is being adopted as a diagnostic test to identify actionable mutations in cancer patient samples. However, clinical samples, such as formalin-fixed, paraffin-embedded specimens, frequently pro…
View article: Calcium signaling and transcription: elongation, DoGs, and eRNAs
Calcium signaling and transcription: elongation, DoGs, and eRNAs Open
The calcium ion (Ca2+) is a key intracellular signaling molecule with far-reaching effects on many cellular processes. One of the most important such Ca2+ regulated processes is transcription. A body of literature describes the effect of C…
View article: Readthrough transcription: How are DoGs made and what do they do?
Readthrough transcription: How are DoGs made and what do they do? Open
In recent years, the realization that most of the genome is transcribed has transformed the study of mammalian gene expression. Much effort has gone into investigating how this pervasive transcription is regulated and what the functions of…
View article: Genome-wide identification of Wig-1 mRNA targets by RIP-Seq analysis
Genome-wide identification of Wig-1 mRNA targets by RIP-Seq analysis Open
RNA-binding proteins (RBPs) play important roles in the regulation of gene expression through a variety of post-transcriptional mechanisms. The p53-induced RBP Wig-1 (Zmat3) binds RNA through its zinc finger domains and enhances stability …