Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...

The identification of cancer classes has traditionally been based on histomorphology. Recently, DNA microarrays have been used successfully to automatically discover cancer classes through clustering ...

The advent of gene chips has led to a promising technology for cell, tumor, and cancer classification. We exploit and expand the methodology of recursive partitioning trees for tumor and cell ...