Deconvolution of Whole Blood Transcriptome based on mRNA-Seq data

Gene expression in blood is highly affected by the type and proportion blood cells. Therefore, cell composition needs to be taken into account when looking for signatures specific to a condition. The issue is that cell composition needs to be assessed on fresh blood, i.e. at time of blood collection. If this has not been done, the only way one can assess is by predicting it using a methodology suggested in this proposal. Therefore, if blood cell count is not available, the cell composition can be inferred from existing next generation sequencing data sets. This would help researchers being able to use their existing datasets or publicly available data that do not have corresponding blood composition information.

Faculty Supervisor:

Raymond Ng

Student:

Zhouqin He

Partner:

Centre of Excellence for the Prevention of Organ Failure

Discipline:

Computer science

Sector:

Life sciences

University:

University of British Columbia