Life Science Data Mining

Identifies and highlights the data mining paradigms to analyze, combine, integrate, model and simulate vast amounts of heterogeneous multi-modal, multi-scale data for emerging real-world applications in life science. This book presents topics which include bio-surveillance, disease outbreak detection, high throughput bioimaging and drug screening.