University of Manchester Reports Findings in Cancer (Essentiality, protein-prote in interactions and evolutionary properties are key predictors for identifying c ancer-associated genes using machine learning)

Robotics & Machine Learning Daily News2024，Issue(MAY.2) ：84-85.

来源：

NETL
NSTL

University of Manchester Reports Findings in Cancer (Essentiality, protein-prote in interactions and evolutionary properties are key predictors for identifying c ancer-associated genes using machine learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reporting out ofManchester, United Kingdom, by N ewsRx editors, research stated, “The distinctive nature of cancer as adisease p rompts an exploration of the special characteristics the genes implicated in can cer exhibit. Theidentification of cancer-associated genes and their characteris tics is crucial to further our understandingof this disease and enhanced likeli hood of therapeutic drug targets success.”

Key words

Manchester/United Kingdom/Europe/Canc er/Cyborgs/Emerging Technologies/Genetics/Health and Medicine/Machine Learn ing/Oncology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航