The visualization of the most promising potential biomarkers identified by DCMC on the LIHC dataset.

<p>Note: Red represents high expression, whereas blue indicates low expression.</p> <p>(TIFF)</p>

Сохранить в:

Библиографические подробности
Главный автор:	Mengxiang Lin (22784287) (author)
Другие авторы:	Rongqi Fan (22784290) (author), Saisai Zhu (17060089) (author), Xiaoqiang Yan (345423) (author), Quan Zou (157931) (author), Zhen Tian (438719) (author)
Опубликовано:	2025
Предметы:	Medicine Space Science Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified identify potential biomarkers experimental results validating enable personalized therapies differential expression analysis construct negative pairs specific therapeutic drugs cancer subtypes identified effectively capturing inter div >< p decoupled contrastive multi contrastive clustering methods view clustering architecture view clustering specific information clustering process cancer ’ art methods view relationships view consistency allowing view superior performance source code significant efforts random sampling omics data novel end maintaining cross learned representations label rectification integrating multi end self effective diagnosis available online 19 state
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Схожие документы