Sökning: "Anna Tramontano"
Hittade 2 avhandlingar innehållade orden Anna Tramontano.
1. Predicting Function of Genes and Proteins from Sequence, Structure and Expression Data
Sammanfattning : Functional genomics refers to the task of determining gene and protein function for whole genomes, and requires computational analysis of large amounts of biological data including DNA and protein sequences, protein structures and gene expressions. Machine learning methods provide a powerful tool to this end by first inducing general models from such data and already characterized genes or proteins and then by providing hypotheses on the functions of the remaining, uncharacterized cases. LÄS MER
2. From Physicochemical Features to Interdependency Networks : A Monte Carlo Approach to Modeling HIV-1 Resistome and Post-translational Modifications
Sammanfattning : The availability of new technologies supplied life scientists with large amounts of experimental data. The data sets are large not only in terms of the number of observations, but also in terms of the number of recorded features. LÄS MER