biomedical ai / research
colorectal cancer gene-network analysis
a gene-network research project identifying disease-specific expression patterns in colorectal cancer.
featuredresearch
overview
Used heterogeneity-aware network methods to identify robust gene-expression patterns across colorectal cancer tumor, normal-adjacent, and healthy tissue datasets.
why it matters
network structure can surface disease signals that flat differential-expression tables miss. this project uses network thinking to make colorectal cancer patterns more legible.
what i built
- analyzed colorectal cancer tumor, normal-adjacent, and healthy tissue datasets.
- used heterogeneity-aware network methods to identify robust expression patterns.
- focused on disease-specific signals that become clearer through graph structure.
- connected computational analysis with systems-biology interpretation.