Machine Learning

PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions
The precisionFDA Truth Challenge V2 aimed to assess the state of the art of variant calling in challenging genomic regions. Starting …
PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions
Clinical Value of RNA Sequencing-Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network–Breast Initiative
Purpose
In early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal …
Clinical Value of RNA Sequencing-Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network–Breast Initiative