Analyzing Microarray Gene Expression Data

TL;DR: This thesis describes a machine learning system for understanding appraisal in design documents that expresses the positive or negative stance of the author to the semantic meaning of the document.

TL;DR: Analysis of two lymphoma studies shows that the proposed approach – which is composed of the hybrid gene clustering, linear regression model for survival, and clustering regularized estimation with CTGDR – can effectively identify gene clusters and genes within selected clusters that have satisfactory predictive power for censored cancer survival outcomes.

TL;DR: A novel operating principle for a temperature modulatedelectronic nose is introduced and the main goal is to perform gas discrimination with metal oxide gas sensors withTemperature modulated electronic nose.

TL;DR: A systems-level perspective on the topological and functional relationships among proteins contributing to nucleotide excision repair in Saccharomyces cerevisiae is obtained and a computational framework that can be applied to construct landscapes for other biological processes is offered.