Stable, predictive biomarkers and interpretable disease signatures are seen as a significant step towards personalized medicine. In this perspective, integratio

Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good tra

Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data

The book brings a completely different perspective than available books by combining the information gained from the human genome with that derived from paralle