The book introduces to the reader a number of cutting edge statistical
methods which can e used for the analysis of genomic, proteomic and
metabolomic data sets. In particular in the field of systems biology,
researchers are trying to analyze as many data as possible in a given
biological system (such as a cell or an organ). The appropriate
statistical evaluation of these large scale data is critical for the
correct interpretation and different experimental approaches require
different approaches for the statistical analysis of these data. This
book is written by biostatisticians and mathematicians but aimed as a
valuable guide for the experimental researcher as well computational
biologists who often lack an appropriate background in statistical
analysis.