University of Alberta Reports Findings in Machine Learning (Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma)
University of Alberta Reports Findings in Machine Learning (Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma)
扫码查看
点击上方二维码区域，可以放大扫码查看
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Edmonton, Ca nada, by NewsRx correspondents, research stated, “Here, we present a workflow fo r analyzing multi-omics data of plasma samples in patients with post-COVID condi tion (PCC). Applicable to various diseases, we outline steps for data preprocess ing and integrating diverse assay datasets.” Our news editors obtained a quote from the research from the University of Alber ta, “Then, we detail statistical analysis to unveil plasma profile changes and i dentify biomarker-clinical variable associations. The last two steps discuss mac hine learning techniques for unsupervised clustering of patients based on their inherent molecular similarities and feature selection to identify predictive bio markers.”
Key words
Edmonton, Canada, North and Central Amer ica, Cyborgs, Emerging Technologies, Machine Learning
NETL
NSTL