Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
This section introduces the research background and significance of digital pathology, the research objectives, and the critical role of multi-threshold optimization in pathological image segmentation ...
A computer algorithm can efficiently find genetic mutations that work together to drive cancer as well as other important genetic clues that researchers might someday use to develop new treatments for ...
Researchers at the Centre for Genomic Regulation (CRG) have discovered hundreds of potential new cancer driver genes. The findings, published in the journal Nature Communications, significantly ...
Layout design is an important research topic in the field of manufacturing system. In traditional manufacturing systems, the initial layout design is rarely changed. However, with the increasingly ...
Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...
A graph-based computational tool for detecting previously invisible genetic mutations has been developed. Researchers at the University of California, Los Angeles (UCLA; USA) and the University of ...
An estimated 170,000 Australians were diagnosed with cancer in 2025. Many people know the causes of cancer are partly genetic. But how do your genes, which contribute so much of what makes you you, ...
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