Enhancing the informative value of bulk bone marrow RNA-seq by inferring cell-type contributions (WP3)
Rationale and objectives
A large number of bulk RNA-seq data has already been generated from complex bone marrow (BM) samples. Understanding the contributions of different cell types and states will increase the diagnostic value of the data.
The project's objectives are:
• To develop a computational method to dissect the contribution of different cell populations to bulk expression data.
• To validate the method with a cohort of MDS samples being analyzed in bulk and on the single-cell level.
• To assess the diagnostic and prognostic potential of the augmented information in CHIP, MDS and sAML.
Josep Carreras Leukaemia Research Institute (Spain, 3 months), BioBam Bioinformatics (Spain, 1 month).
PhD in Experimental Medicine, TUM graduate School (TUM-GS), Germany.