Steve Goodison B

This paper introduces AsMac, an alignment-free method for metagenomics sequence comparison, showing improved performance on variable-length sequences and handling insertions/deletions.

The paper develops a computational approach to model cancer progression using static tumor samples and applies it to breast cancer data, revealing a linear, branching evolutionary model with subtype shifts during progression.

This paper introduces DeepType, a deep learning framework for breast cancer subtype classification, which outperforms existing methods by identifying more robust subtypes with fewer genes.