This repository contains trained deep learning models (based on shufflenet) for detecting microsatellite instability (MSI) in histological images of colorectal cancer. Expected input is 512x512x3, out
This study aims to explore genomic features of cancer in plasma WGS data from patients with advanced colorectal cancer. Cell-free DNA (cfDNA) was extracted from plasma using the QIAamp Circulating Nuc
ObjectiveIn this study, we systematically compared the microsatellite shift patterns detected by PCR-based microsatellite instability analysis (PCR-MSI) in mismatch repair (MMR)-deficient ECs and anal
Microsatellite instability analysis of tumours can be used to identify mismatch repair deficiency and to guide therapy and acute management. To develop microsatellite instability detection methods, we
Code and data for the validation dataset analyses. The R code and data used in the colorectal and endometrial/neuroendocrine validation analyses are included in this zip file. Code executes in the dir
