Defense of dissertation in the field of Information and Computer Science, Suleiman Khan, M. Sc. (Tech.)

Bayesian multi-view models for data-driven drug response analysis

Suleiman Khan, M. Sc. (Tech.), will defend the dissertation “Bayesian multi-view models for data-driven drug response analysis” on 7 September 2015 at 12 noon in Aalto University, School of Science, Auditorium U4 (Room U142, M-wing Entrance of Main Building), Otakaari 1, 02150, Espoo. In this dissertation, the main contribution is the novel computational methods for analysing dependencies between drug responses and their structures that can benefit the pharmaceutical industry.

Systematically understanding the dependencies between drugs and the corresponding responses of human cancer cells, can assist in optimising the drug discovery process as well as finding new applications of known drugs. This thesis presents novel computational methods as a solution to study the relationships between drugs and their response patterns in multiple cancers. The methods distinguish between drug actions that are common across several cancers from those which specific to only some of them, which may additionally assist in the grand challenge of personalizing medicine for each individual patient.

The research is performed using publicly available data sources and the computational methods are also released as open source softwares to aid further research.

Dissertation release (pdf)

Opponent: Assistant Professor Sara Mostafavi, University of British Columbia, Canada

Custos: Professor Samuel Kaski, Aalto University School of Science, Department of Computer Science

Electronic dissertation: https://aaltodoc.aalto.fi/handle/123456789/17490

School of Science, electronic dissertations: https://aaltodoc.aalto.fi/handle/123456789/52