Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Get in touch with Ying'ao
Contact Ying'ao, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck RackActions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Enhancing Molecular Network‐Based Cancer Driver Gene Prediction Using Machine Learning Approaches: Current Challenges and Opportunities
1 Introduction Recent medical research has revealed that cancer results from the dysfunction of related dynamic systems [1]. From a systems biology perspective, cancer is triggered by state transitions in key cancer driver genes. These transitions disrupt molecular networks, such as gene regulatory networks, protein–protein interaction (PPI) networks and signal transduction pathways, which control molecular functions and cellular processes [2].
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Ying'ao
Contact Ying'ao, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack