Extracting Stage-Specific and Dynamic Modules Through Analyzing Multiple Networks Associated with Cancer Progression.

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2018)

Cited 24|Views24
No score
Abstract
Determining the dynamics of pathways associated with cancer progression is critical for understanding the etiology of diseases. Advances in biological technology have facilitated the simultaneous genomic profiling of multiple patients at different clinical stages, thus generating the dynamic genomic data for cancers. Such data provide enable investigation of the dynamics of related pathways. Howev...
More
Translated text
Key words
Heuristic algorithms,Genomics,Bioinformatics,Breast cancer,Gene expression
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined