Tweet
The goal of this challenge is to advance techniques for the prognosis and treatment of brain tumors by asking participants to develop machine learning and/or artificial intelligence models to identify biomarkers and predict patient outcomes using gene expression, DNA copy number, and clinical data. For more information and to get started, visit https://go.usa.gov/xpD4q!
-
-
Thanks so much for providing individuals with a very wonderful chance to read critical reviews from this website. It’s always very enjoyable and also jam-packed with a lot of fun for me personally and my office peers to search your site minimum thrice weekly to read through the fresh things you have got. And of course, I am also actually happy concerning the magnificent principles you give. Some 1 areas in this posting are absolutely the very best I've ever had. -
Pretty interesting! Thanks for the linkComment
-
The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...Yesterday, 07:48 AM -
The field of epigenetics has traditionally concentrated more on DNA and how changes like methylation and phosphorylation of histones impact gene expression and regulation. However, our increased understanding of RNA modifications and their importance in cellular processes has led to a rise in epitranscriptomics research. “Epitranscriptomics brings together the concepts of epigenetics and gene expression,” explained Adrien Leger, PhD, Principal Research Scientist...04-22-2024, 07:01 AM
Comment