Bioinformatic approaches to gene expression in leukemia. Networks and deconvolution
The aim of this thesis is develop methods to extract information from high-dimensionality data and to apply them in looking at gene-gene and gene-protein interactions in Acute Myeloid Leukemia (AML). The in silico methods developed can be used with data from other systems. The thesis gives an overview of the field for network inference and deconvolution methods, as well as a brief background on th
